Embrace empowers engineers to manage the complexity of mobile to build better, bolder experiences

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Learn about the key performance metrics that mobile teams should track in their mobile apps so they can deliver better user experiences. In order to build the best experiences, engineers need the best data available. Mobile makes this challenge more complex, with variables that include device types, different operating systems, and connectivities, to name just a few. With a growing number of tools that all offer varying levels of visibility into your mobile app's health, performance, and stability, it can be difficult to know exactly which metrics you should be tracking. In this post, we’ll outline the most important performance metrics you need to track and how they help you get to the root cause of issues more quickly so you can build better mobile experiences. 1. Startup time Mobile users typically check their apps on the go and are accustomed to instantaneous results. Therefore, they won’t sit around and wait for the app to load. For example, if the Uber app takes too long to load, the user will probably switch to the Lyft app instead. In addition, users who had a poor experience in the Uber app and a decent experience in the Lyft app are much more likely to become a loyal Lyft user. Now, not only have you lost revenue from that user’s session, but your cost per acquisition and churn increased, not to mention the LTV that particular customer could have brought the company. Therefore, is essential to its success. ensuring your app’s startup time meets user expectations However, if the mobile team only has access to the , they probably miss key changes and respond reactively rather than proactively. average startup time For example, let’s say a company is launching its app into a new market, and the overall feedback is negative. The average startup time shows that the app is a few milliseconds longer than it was before the launch, but it doesn’t indicate that it became dramatically slower during the launch. So there must be another problem, right? Unfortunately, because the percentage of users in the new market is only a fraction of the overall user base, it makes sense that even an abysmal startup time in the new market would only minimally impact the total user base’s startup time. Instead, the team needs to be able to segment the data to better understand how startup time impacts the business. For example, how are high-value users suffering from slow startups? Are users in a new market experiencing worse performance? Are certain devices experiencing slower startups? This data puts your company back in control of the situation and omits the guesswork in time-sensitive scenarios that impact your revenue. To learn more, check out our eBook on . how to improve mobile app startup time 2. Crash rate are a surefire way to anger customers and for a good reason! It’s essentially the equivalent of a customer walking into a brick-and-mortar store where the staff kicks them out the door halfway through their shopping. Crashes This is a major issue for the company’s brand for two reasons: It as customers feel their time is disrespected. damages the reputation of your brand It hurts your revenue as customers can’t complete their immediate transaction, and you lose the lifetime value of that customer if they decide to switch to a competitor. Here are just a few examples from various industries where a crash directly translates to lost revenue: If an e-commerce app crashes during checkout, the customer won’t be able to make their purchase and likely won’t be back. E-commerce Apps: : If a POS system crashes during a live event, none of those live customers will be able to make a purchase or enter the venue. POS Systems : If a smart device, such as a toothbrush, crashes during the setup process, it’s very likely the customer will return the product. Smart Device Apps However, while tracking the average crash rate is a good start, it’s . still not enough to understand how crashes impact your business For example, if the current crash rate is just 0.5%, you might not see the need to drill deeper. However, what if all of the crashes that occur happen at the checkout screen? That tiny percentage could be cheating the business out of significant revenue. So, in addition to looking at the major metric numbers, it’s also important to have data that shows patterns in the crash rate. Specifically, how are various high-value areas in your app performing? Which devices tend to experience the most crashes? How is the app performing for high-value users? Are there any regions that experience particularly poor crash rates? And if so, should the app be fixed or removed from those regions? By segmenting crash details, your team can better prioritize fixing issues. 3. ANR rate are typically described as freezes or glitches. Application Not Responding (ANR) errors Essentially, if the main thread is blocked, the applications cannot run effectively. Therefore, the user cannot proceed, which can have a major impact on your business. For example, a retailer we worked with had an issue with ANRs. This issue was causing startup times to increase by almost 60%, translating to an estimated revenue loss of $6.5 million per year. , the engineering team was able to quickly address the issue and reclaim that lost revenue. With the right data Beyond revenue, ANRs can also in the Google Play Store and make it less visible to new customers. negatively impact an app’s rankings To effectively track ANRs, you can look at the stack trace and see how users responded to the issue. From there, the mobile team can prioritize what to fix first based on how many people leave at various thresholds, where high-value users are most affected, and which device types and screens are most affected by ANRs. To learn more, check out . this post on investigating Android crashes like ANRs 4. Region metrics Tracking region metrics is also very important as users in different regions have different devices and different connectivities. This can have a major impact on the business for several reasons. First, regions differ in their importance to a business’s bottom line. For example, perhaps only a portion of your users are in Singapore, but they might make up a large portion of your total annual revenue. Therefore, checking region metrics on a granular level will spotlight opportunities to improve the app, particularly for high-value users. Tracking segmented region metrics is also essential when launching into a new region. For example, suppose you expand into Australia, yet that geographic area only makes up 5% of all users on launch. In that case, it won’t impact median/average metrics enough to allow the team to effectively track performance. It’s also important to take into account cultural differences, and with a tool that provides region-specific metrics, the team can test specific aspects of the app just for that region. For example, an e-commerce checkout screen that converts well in the United States may not convert as well in Dubai. In addition, granular region metrics make it easy to roll out new features slowly. For example, the team can roll out a new feature in a smaller region and see how it performs. If it performs well, roll it out to more and more regions with higher-value users. This data can guide your team in answering critical questions like: Do we need to build a new app for this region? How is this new launch performing compared to launches in other regions? Which regions are the most problematic? And should we stop serving them altogether? ​​How are various critical areas of the app performing in one region versus another? 5. Session duration Another key metric to keep an eye on is session duration, as it signals how long users are using your app. If the average session duration changes dramatically in a week, it’s a pretty good hint that there is an issue with the app. For example, if you have a gaming app and notice the average session duration dropped from 15 minutes to 5 minutes, there’s a good chance that users had a poor experience. With this clue, you can ask questions like: Did we ship a bad release? Are users less engaged with the app? Is there a corresponding change in another metric that can help explain the change in session duration? Tracking session duration also allows the team to investigate patterns among the affected individual sessions and discover the root cause of issues. By analyzing session duration in parallel with other metrics, mobile engineers can draw a clearer picture of which issues are most intrusive to users. For example, an e-commerce store might have an OOM issue on the main scrolling feed of products that correlates strongly with a shorter session duration, whereas slow network calls on another screen have little to no correlation with the session duration. Therefore, tracking session duration is a great way to prioritize which issues should be fixed first as it directly reveals reduced user engagement. 6. Churn/retention rate It costs a lot more to acquire a new customer than it does to keep a current customer happy, and a leading cause of churn in mobile app users is a poor user experience. Downloading a new app only takes a few seconds, so if an app’s experience interrupts the user in a way that takes more than a few seconds of their time, don’t expect them to stick around. Therefore, track not only the overall churn and retention rate but also the churn and retention rates of segments of the user base (by devices, connectivities, regions, etc.). This will illuminate various opportunities to improve and prioritize retention. For example, you may find that while the churn rate is very high in one particular region, that region has few high-value users. Therefore, you may decide to invest engineering resources somewhere else where they will translate to larger business outcomes. Tracking churn and retention is also a great way to understand how users respond to new releases and various experiments. If there is a correlation between high churn and a new feature update, that’s a strong indicator that the team needs to roll back that feature update. Detailed data will allow the team to track the churn of various segments (such as specific regions or devices) to which the update is rolled out. Without segmented data, it will be difficult to see the impact that various feature updates have on small testing groups. Therefore, only once the feature is rolled out to a large group of users (and presumably caused many monthly active users to leave) will it become apparent that the feature rollout was premature. 7. User termination rate While some user terminations are nothing more than a user decluttering their phone, many terminations occur because the app has frozen, and the user has no choice but to swipe up and terminate the session. Of course, a user who is forced to terminate their session will likely be disgruntled and choose a competitor’s app instead. To prevent this, monitoring the average user termination rate is an excellent indicator of potential issues that could lead to churn, including: Failed ad loads are causing freezes Slow or broken user flows Failing purchases Server outages causing login errors Excessive media loading that causes slowdowns In addition to providing an overview of the average user termination rates, mobile teams need to know the source of every poor user experience. Therefore, one of the key features we built into Embrace is the ability to see . which screens cause frustrated users to abandon your app Therefore, rather than wasting valuable time and losing sales while engineers guess where the terminations are occurring, the mobile team is immediately directed to the issue so that they can fix the problem as efficiently as possible. 8. Timing of key user actions There are likely a few user actions within your app that absolutely must work 100% of the time. For example, if an office offers keyless entry, that feature must work every time. Otherwise, people may not be able to enter the office without calling additional support. Therefore, select a few key user actions and add them to the list of performance metrics the mobile team is tracking. In many cases, customer reviews don’t say where they experienced an issue in the app, so tracking specific user actions is a great way to catch issues that otherwise aren’t immediately apparent. This also helps you answer questions like: How many users experience issues in these critical areas of the app? Is there a direct correlation between issues in specific areas of the app and churn? How long do users try before giving up and abandoning the app? For example, one of our customers noticed that about 1% of all purchase attempts resulted in purchase failures. However, both of the associated network calls were resolving successfully, so there were no obvious errors to inspect. Therefore, they began tracking the exact moment a customer would make a purchase and found that the two network calls were happening out of order in 1% of purchase attempts, which resulted in a failed purchase. Though customers had been complaining about this issue, the mobile team couldn’t pinpoint the root cause without knowing the timing, outcome, and order of all events within the affected sessions. High-fidelity user experience data was vital in helping them reclaim 1% of their total sales. For a company doing $10 million in annual sales, that’s $100,000 that would otherwise be lost each year! 9. Memory usage It’s important to track your app’s memory consumption to identify any potential memory leaks. The efficiency of your app’s memory usage directly relates to how responsive your user experience is. This is why monitoring and optimizing memory usage plays a crucial role in delivering a seamless user experience. You can avoid issues with your app’s memory usage by: Optimizing your codebase and pinpointing areas where memory is unintentionally retained causes an increase in memory usage. Tracking your app’s memory consumption on a regular basis, noting any changes after new releases. Carefully monitoring memory-intensive operations like loading large images or processing large files and creating for abnormal spikes or sustained high memory usage. alerts A fine-tuned strategy regarding your app’s memory consumption creates responsive, stable, and effective apps that your users will love. 10. Connectivity Mobile apps operate in diverse environments with varying , including 3G, 4G, 5G, Wi-Fi, and sometimes limited or unstable connectivity. network conditions This is why it’s important to recognize the challenges posed by these varying conditions to create great user experiences. Indicators of poor network performance include: Latency and slow response times. Bandwidth usage. Inefficient API calls. Device-specific offline capabilities. For example, is an agricultural app that allows farmers and agronomists to document their findings while they’re in the field with their peers and colleagues. Farm Dog The app would crash often when network response times were exceptionally slow and when devices couldn’t determine whether they were connected. They noticed that Google Maps response times between 18-22 seconds when they should be only a few seconds. Without the proper tooling, they would need to use convoluted workarounds to solve issues using a proxy to simulate a bad network connection. However, with higher-fidelity data, they can see the exact conditions users have in the field, including: Network calls across device types, app versions, Wi-Fi, and cellular. Insight into 4xx and 5xx error trends across common domains to identify problematic pathways. The broken endpoints that prevent your users from starting up the app, loading key content, or completing crucial transactions. The duration of every network call from the client side reveals hidden points of latency. Armed with this information, the Farm Dog team simulated the issues their users faced, easily identified the problematic conditions, and fixed them. Set your mobile team up for success If you care about mobile experiences, then you need the data that enables your team to see all of the metrics mentioned above. Embrace helps you build better mobile experiences by giving you just that data, making your engineers more efficient and less bogged down by tedious work. Learn more about and download report to learn about key app frustrations according to users. Embrace The State of Mobile Experience Author: Colin Contreary Also published . here

10 Mobile App Performance Metrics You Need To Start Tracking

10টি মোবাইল অ্যাপ পারফরম্যান্স মেট্রিকস যা আপনাকে ট্র্যাকিং শুরু করতে হবে

10 Leistungskennzahlen für mobile Apps, die Sie benötigen, um mit dem Tracking zu beginnen

Diez métricas de rendimiento de aplicaciones móviles que necesita para comenzar a realizar un seguimiento

10 mesures de performances des applications mobiles dont vous avez besoin pour commencer le suivi

10 मोबाइल ऐप प्रदर्शन मेट्रिक्स जिनकी आपको ट्रैकिंग शुरू करने के लिए आवश्यकता है

追跡を開始する必要がある 10 のモバイル アプリのパフォーマンス指標

추적을 시작하는 데 필요한 10가지 모바일 앱 성능 지표

10 métricas de desempenho de aplicativos móveis que você precisa para começar a monitorar

10 показателей производительности мобильных приложений, которые нужно отслеживать

Takibe Başlamak İçin İhtiyacınız Olan 10 Mobil Uygulama Performans Metriği

10 số liệu hiệu suất ứng dụng di động bạn cần để bắt đầu theo dõi

您需要开始跟踪的 10 个移动应用性能指标

Mobile app debugging sees innovation and new, high-quality free tools for mobile engineers in 2023 Building a successful is a complex process. Each line of code plays a crucial role, and sometimes, a tiny misstep can lead to a bug. These issues, no matter how small, can affect the user experience. This is where bug reporting becomes necessary. mobile app However, not all bug-tracking tools are created equal. The right bug-tracking tool is the perfect companion for pre-launch, testing, and issue-resolution processes. This is why it’s so important to acquire the right tool for your mobile app. Mobile engineers need efficient bug tracking and high-quality, actionable data to create seamless user experiences. In this blog post, we’ll examine the top bug-tracking tools of 2023. Let’s dive in! What is the best way to report a mobile app bug? ​​There are many great options available, many of which are free or low-cost. While you could build this functionality in-house, it’s worth checking out what existing solutions there are and deciding based on your needs. Here are a few things to consider: Do you want mobile app bug reporting for beta testers or users in production? What workflow will work best for your team? What features are most helpful to you and your team? Is it intuitive enough for non-technical users to submit bug reports? Does the tool provide detailed crash reporting, stack traces, or relevant diagnostics? Check out this list of mobile app bug reporting solutions, and choose the one that works best for your needs. Top mobile app bug reporting solutions 1. Bug Shake by Embrace by Embrace is a free, intuitive bug reporting and crash reporting tool that allows users to catch all bugs in an app while also understanding the full technical details. Bug Shake Pros You can start using Bug Shake right after you input just a few lines of code. After this, your users and testers can start reporting bugs to the engineering team after a simple shake of their device — the SDK is lightweight and the process is low-friction. Easy to use and simple to integrate. Bug Shake by Embrace automatically captures crashes as well. Whether your mobile team needs a solution for a few internal engineers or large beta testing groups, they get complete bug and crash reporting coverage at no added expense. Free crash reporting is included: When you use Bug Shake, you can share bug and crash reports with other members of your team. This makes it easy to collaborate with your team members and delegate work accordingly. Collaborative: No manual reproduction is required because Embrace automatically captures the full trail of technical events for every session. This includes the category (a bug, crash, or user suggestion or question), the app version, the user ID, and the timing of the issue. You won’t have to rely solely on screenshots, limited recordings, or breadcrumbs to understand the root cause of an issue. Embrace is well-known in the market for this level of detail. Full session context to resolve issues: If you’re looking for even further context to solve an issue in your app, you can go beyond Bug Shake and of the full-featured Embrace solution to have the most powerful data to identify, prioritize, and resolve any issue. The Embrace data includes the full technical detail for every user session, including views, taps, network calls, device state, changes, connectivity switches, and more. start a free trial Embrace’s full product includes a deep analysis of user sessions, crash reporting, network monitoring, ANR reporting, and more. Cons If you’re looking for a tool that allows you to live chat with users or send direct updates on your product, then this tool isn’t the right match for your team. Limited ways to interact with users. Pricing Bug Shake by Embrace is 100% free to use in both pre-release testing and in production for user bug and crash reporting with session timelines. 2. Bugsnag Bugsnag’s mobile bug reporting feature is a tool that allows users to report bugs directly from within a mobile app. Pros Bugsnag allows the ability to track errors in real time for the fastest response times and a simple issue resolution process. Real-time error tracking. Bugsnag offers comprehensive reports that include stack traces, device information, and even user data. Detailed diagnostics. Bugsnag shows a stability score that measures the percentage of error-free user sessions. This is particularly useful to non-technical users to get a feel for the performance of the app. At-a-glance analysis of stability. Cons You can report bugs, but Bugsnag doesn’t give users the option to shake their phones to report an issue. This means the reporting process could be less intuitive to the user and take more time to complete. No shake functionality. Bugsnag has limited options when it comes to customization of user flows and filtering. There is no detailed session timeline page or session replay to see details in a user timeline. Limited custom functionality. The free tier goes up quickly by charging monthly events and seats for error monitoring and by spans for real user monitoring. The free product is limited and the price can add up. Pricing Bugsnag offers three different plans — Lite, Standard, and Enterprise. The pricing is based on a combination of user and event count. Both the Lite and Standard tiers can be customized based on the amount of seats you need at 5, 15, 30, and 50 seats. pricing 3. Buglife Buglife is a bug-reporting tool that has an emphasis on visual context. Every reported bug has an auto-captured screenshot of the phone at the moment the bug was reported. One of Buglife’s key features is the ability to annotate submitted media to streamline the issue resolution process. Pros Buglife collects screenshots and recordings of bugs and allows users to annotate this media for issue resolution. Annotated media. Buglife not only collects screenshots and video recordings of reported bugs, it also collects logs, events, and environment data including the device, connection, memory, and battery percentage. Collection of logs and other environmental data. . Buglife integrates with several different project management and communication tools. Integrations Cons There is no free plan. There are only two tiers of pricing and both are more expensive than many other tools available on the market. Few pricing plans. Buglife has logs and environment data for each bug reported, but it lacks other key crash analytics used to solve a bug like network calls, connectivity changes, views, taps, etc. Lacks key crash reporting features. Pricing There are two tiers of Buglife — Premium for $458 a month and Enterprise (custom pricing). pricing 4. Bugsee Bugsee is another bug-reporting tool that heavily emphasizes the visual aspect of its bug reporting. Bugsee collects the bug report itself, videos of user actions, network traffic, and console logs. Pros Bugsee doesn’t require much to set up. It’s an easy integration that only requires the installation of a lightweight SDK. Easy to set up. Bugsee takes video recordings of the user in any live app. They boast a continuously recorded high-resolution 10 frames-per-second video of the app usage. High-quality video recordings. The interface of Bugsee is easy to use and understand for both technical and non-technical users. Easy to use for technical and non-technical users. Cons Although one of Bugsee’s leading features is its video recordings, the video recordings are only 60 seconds max. Limited video recordings. Bugsee only retains three days of data at the Lite tier and one month of data at the Pro tier. If there are over 50 unique devices used then you need a custom pricing plan. Limited data retention. Pricing Bugsee has three tiers — a Lite tier, a Pro tier at $99, and a Custom tier with custom pricing. pricing 5. Gleap is another bug-reporting tool with a heavy emphasis on its visual offering. What makes Gleap unique is that it also supports live chat with users so that their questions can be answered in real-time. It also has an AI bot, Kai, that can automatically answer support questions on behalf of your team. Gleap Pros Many users report that they like Gleap’s UI and have an easy time using the app to report bugs and communicate. Intuitive interface. Gleap is unique because it has a live chat feature. The feature is designed to allow a mobile team to answer the questions of testers in real-time. Live chat. Gleap is big on user feedback via its feature request board. This channel is for users to submit feature requests and upvote the ones they like most. Feature request board. Cons There is only a finite number of events you can track across all pricing plans. Limited event tracking. Many find Gleap’s pricing plans to be inefficient. For example, the base plan only supports one team member. Inefficient pricing options. Unlike other tools in this round-up, Gleap doesn’t have a crash reporting feature, so you’ll need to rely on videos and screenshots to solve bugs using this tool and supplement with another tool for technical detail. A lack of technical detail. Pricing Gleap has three tiers. The Hobby tier is $23 a month, the Team tier is $119 a month, and the Enterprise tier has custom pricing. They offer a startup discount (50% off the first year that you use Gleap) across all three tiers. pricing 6. Instabug offers a mobile app bug-reporting feature that allows testers and users to report bugs in both development and production. Instabug Pros Many enjoy using Instabug bug reporting because you can report a bug and send feedback by shaking your device. You can also attach screenshots, screen recordings, and even voice notes for any issue. Easy to use. Instabug captures console logs and metadata for each bug submitted. Logging and metadata. You can send updates to users who reported an issue via in-app chats. This can be useful for getting more information from users when needed or quickly communicating that bugs have been resolved. In-app chats. Cons Many of the pricing plans are expensive and edge out small teams because of this. Instabug also lacks an ongoing free tier. Pricing constraints. Many of the bug reports lack the granularity and depth that users are looking for and it makes it difficult to solve bugs efficiently. Lack of granularity and depth. Pricing There are four tiers of Instabug. The Basic tier for $249 a month, the Pro tier at $499 a month, the Ultimate tier at $749 a month, and the Enterprise tier with custom pricing. 7. Shake is a bug and crash reporting tool for mobile apps. Shake aims to give teams the most information possible so that they won’t have to ask the user for supplemental information. Shake Pros The Shake integration can be added to your app within a matter of minutes. It’s also lightweight and won’t negatively impact your user’s in-app experience. Easy integration. Shake sends data metrics to each bug and crash report including console logs, history of taps, requests, and notifications. Auto-captured data. Shake automatically adds a screenshot and video to each bug report and allows users to submit supplemental media if necessary. Screenshots and videos. Cons Shake’s Free tier limits you to three seats and the Premium tier limits you to 4. This means there are limited cost-effective options for teams with more than just a few people. Limitations for teams. If you’re bug reporting at the Free tier, then there is a limit of the activity history you can view for an app. Limited activity history. Pricing Shake offers three tiers. The Free tier is targeted toward indie developers but limits the team on seats, integrations, and apps in the dashboard. pricing The Premium tier is $160 a month and limits the user to 4 seats and 4 apps in the dashboard. The Organization tier, for larger agencies and companies, is $340 a month. Fix bugs and enhance mobile experiences There is a diverse landscape of bug reporting tools, but finding the best bug reporting tool is dependent on your mobile team’s needs. Choosing the right tool makes your mobile team streamlined and efficient and your users delighted. While one size doesn’t fit all in the world of mobile bug reporting, a few things remain true for all teams — you need a tool that’s easy to use, cost-efficient, and effective. Make sure you keep these tenets in mind and thoroughly assess team and project needs before choosing a tool. Interested in learning more about Bug Shake? You can about the tool and today. learn more try it - Lauren Bennett, Embrace, Technical Content Writer Also published here.

Exploring the Top 7 Mobile App Bug Reporting Tools of 2023

2023 সালের সেরা 7টি মোবাইল অ্যাপ বাগ রিপোর্টিং টুল অন্বেষণ করা হচ্ছে

Entdecken Sie die 7 besten Bug-Reporting-Tools für mobile Apps im Jahr 2023

Explorando las 7 principales herramientas de informe de errores de aplicaciones móviles de 2023

Explorer les 7 meilleurs outils de rapport de bugs dans les applications mobiles de 2023

2023 के शीर्ष 7 मोबाइल ऐप बग रिपोर्टिंग टूल की खोज

2023 年のモバイル アプリのバグ報告ツール トップ 7 を調査する

2023년 상위 7개 모바일 앱 버그 보고 도구 살펴보기

Explorando as 7 principais ferramentas de relatório de bugs de aplicativos móveis de 2023

Изучение 7 лучших инструментов для сообщения об ошибках в мобильных приложениях 2023 года

2023'ün En İyi 7 Mobil Uygulama Hata Raporlama Aracını Keşfetmek

Khám phá 7 công cụ báo cáo lỗi ứng dụng di động hàng đầu năm 2023

探索 2023 年 7 大移动应用错误报告工具

The pace of technology adoption and innovation continues to reshape industries, workflows, and expectations. From advancements in DevOps and artificial intelligence (AI) to increasing security concerns, organizations are under pressure to adapt to and take advantage of these technology opportunities to be successful in this dynamic environment. Incremental Gains and the Role of AI in DevOps Incremental Gains and the Role of AI in DevOps Progress is rarely achieved in a single flip of a switch. Rather, success is built through consistent improvements made over time. The cycle times of those compounding improvements are shortening with key technology advancements in areas like AI. But the teams and businesses having the most success with AI are applying this same incremental improvement methodology. This year, one focus area across DevOps teams will be the growing emphasis on incremental productivity gains. More specifically, regular interdepartmental progress updates – whether on a monthly or quarterly basis – will be essential to build momentum and ensure that teams stay aligned with wider business objectives. As a result, agile principles with focuses on continuous improvement are becoming more integral to DevOps workflows. In this context, technological advancements can help play a role by enabling smarter, more efficient processes that deliver more value, faster. In fact, research found that DevOps teams are actively leveraging AI to do just that – some of the key challenges this technology is being used to address include skills gaps, cost reduction, and software quality. In terms of team efficiency, AI-augmented DevOps tools could help save teams over 40 hours per month – equivalent to an entire workweek – which frees up time for teams to focus on longer-term strategy and other focal areas of their work. research research Throughout this year, AI will continue to play a key role in helping organizations make consistent gains, while also maintaining scalability and confidence in their systems. Security Concerns in Generative AI-Driven Systems Security Concerns in Generative AI-Driven Systems While generative AI offers transformative business opportunities, it also requires careful oversight. Given that these systems create outputs based on learned patterns and probabilities, unexpected responses are somewhat inevitable. The responsible adoption of generative AI hinges on robust risk management, in which testing plays a key role. It is clear that companies not embracing generative AI tools in any capacity will be left behind. However, this has led to many companies and their employees leveraging AI without first ensuring the proper knowledge and safeguards have been established, potentially resulting in irresponsible and unsafe usage. As this technology continues to be integrated across enterprise operations, it is expected that security concerns will become more prominent. Cybersecurity risks, including the potential for internal corporate information to be leaked through public models, are pressing issues that demand attention. The broader issue of information leakage across digital ecosystems also warrants attention. Outdated documentation and accessible URLs will remain vulnerabilities, highlighting the need for thorough data management and ongoing vigilance in securing sensitive information. Beyond technical checkpoints, responsible AI adoption requires a continuous cycle of risk assessment, testing, and mitigation that includes societal and ethical considerations – ranging from data bias to compliance. AI Regulations – Legislation Remains Top of Mind Despite Recent Vetoes AI Regulations – Legislation Remains Top of Mind Despite Recent Vetoes While the U.S. still does not have comprehensive legislation that directly regulates AI, including generative AI, last year saw steps taken in states across the country that could ultimately change the landscape of the technology's development and deployment. California made headlines when legislatures issued an AI safety bill with the goal of holding AI companies accountable for any harm their models may cause. Yet, critics were quick to note the bill could actually stifle AI innovation, a concern that ultimately resulted in the governor shutting down the bill. The veto of California’s AI safety bill uncovered the complexities of balancing innovation with accountability when it comes to this technology—and we still don’t know its full potential. AI safety bill AI safety bill California’s AI safety bill California’s AI safety bill So, what can companies looking to continue innovating with AI do in the meantime? In today’s dynamic, AI-driven environments, manual testing cannot keep pace. AI-powered testing is no longer optional; it is essential for ensuring confidence in every release. So when it comes to navigating this evolving technology landscape, business leaders must embrace intelligent, adaptive testing solutions to automate complex scenarios.​ By automating complex testing scenarios and leveraging predictive insights, organizations can scale quality practices to match the speed of development. In shifting how software is built – embedding continuous quality from start to finish – businesses can ensure every line of code is reliable and every release meets customer expectations. With this speed comes complexity, though. Therefore, to ensure these current – and future – generative AI systems remain responsible and secure, deployment methods will rely on models that prioritize security, data privacy, and compliance at every stage. Transition to Cloud Picks up Speed Transition to Cloud Picks up Speed A continued focus area for today’s businesses is the acceleration of application migration to the cloud. Insight from Gartner reveals that end-user cloud spending is set to increase 22 percent globally, largely driven by rapid enterprise AI adoption. As a result, organizations will continue to weather the pressures to adopt faster release cycles that are driven by competition and the demands of modern environments. Gartner Gartner For SaaS vendors, this acceleration should come as no surprise. They must continue to prioritize frequent updates, leveraging automation to help manage the complexity of cloud applications. For internal teams, the challenge lies in maintaining agility and efficiency while keeping pace with these demands. AI – when used properly – will be an instrumental tool in addressing these challenges, offering scalable solutions to streamline processes and reduce operational burdens. Welcoming the Road Ahead Welcoming the Road Ahead As organizations advance further into 2025, advancements in technology and ongoing regulations will continue to define not only the year’s key challenges, but also its opportunities. DevOps teams that continue to embrace AI, while also prioritizing incremental gains and efficiency, will be able to navigate this complex landscape with confidence. And with a strategic focus on continuous improvement, the months ahead offer a road to long-term growth and resilience.

AI Won’t Save Your Team—unless You Embrace Incremental Change

LONDON, United Kingdom, October 9th, 2024/Chainwire/--Stablecoin Standard, the industry body for stablecoin issuers globally, today announced that their recently unveiled set of global standards for stablecoin issuers have been endorsed by some of the leading stablecoin issuers and ecosystem participants in the industry. Among those who have endorsed are Archblock, BiLira, Bitstamp, GMO-Z.com Trust Company (‘GMO Trust’), JST Digital, Fireblocks, Solana Foundation, StraitsX and Zodia Markets, signaling a new era of cooperation and standardization within the stablecoin industry. The standards, announced by Beth Haddock, Global Policy Lead at Stablecoin Standard, at the Annual Flagship Event in Singapore, were designed to promote operational resilience, transparency and consistent issuer commitments globally. Stablecoin Standard’s Policy Working Group created the high-level standards that are both general and actionable, while being sensitive to the innovation in the market. Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” The endorsement of the standards lays the groundwork for a stablecoin ecosystem that prioritizes transparency, security and consumer protection. With increased scrutiny from regulators and growing demand for digital assets, unified standards can provide clarity and assurance to both industry participants and the public. Stablecoin Standard’s new framework aims to accelerate the adoption of stablecoins by fostering greater confidence among consumers, regulators, and traditional financial institutions. Ramy Soliman, Co-Founder of Stablecoin Standard, commented on the endorsements: “The endorsement of our global standards by leading stablecoin issuers such as, BiLira and ecosystem participants, including industry leaders like Solana, Zodia Markets and JST Digital, is a vital step toward establishing a unified, trusted framework for the entire sector. As stablecoins continue to redefine the future of digital payments, these standards will provide the foundation for long-term growth, transparency, and security. This collective commitment—solidified during discussions at our annual meeting—not only underscores the industry’s dedication to fostering innovation but also demonstrates a concerted effort to align with evolving regulatory expectations and build the consumer trust essential for stablecoins to thrive globally.” Stablecoin Standard and its endorsing members plan to continue refining these standards for implementation with the goal of achieving industry-wide adherence by Q4 2025. Quotes from Endorsers: Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” About Stablecoin Standard Stablecoin Standard (SCS) is the industry body focused on setting operational, transparency, and product related standards for stablecoins. The SCS plans to achieve industry wide standards by sharing international best practices, business development use cases, forming industry led working groups defining what a high-quality liquid stablecoin should look like, and engaging with policymakers domestically & internationally. The SCS ecosystem consists of over 30 advisory board members, industry partners and issuers that offer digital currencies in global jurisdictions such as the US, EU, Singapore, Australia, and Turkey - among others. Users can follow the Stablecoin Standard on LinkedIn and X and to learn more, please visit: https://stablecoinstandard.com/ Contact Kevin McGrath stablecoinstandard@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here LONDON, United Kingdom, October 9th, 2024/Chainwire/--Stablecoin Standard, the industry body for stablecoin issuers globally, today announced that their recently unveiled set of global standards for stablecoin issuers have been endorsed by some of the leading stablecoin issuers and ecosystem participants in the industry. industry body industry body Among those who have endorsed are Archblock, BiLira, Bitstamp, GMO-Z.com Trust Company (‘GMO Trust’), JST Digital, Fireblocks, Solana Foundation, StraitsX and Zodia Markets, signaling a new era of cooperation and standardization within the stablecoin industry. The standards, announced by Beth Haddock, Global Policy Lead at Stablecoin Standard, at the Annual Flagship Event in Singapore, were designed to promote operational resilience, transparency and consistent issuer commitments globally. Stablecoin Standard’s Policy Working Group created the high-level standards that are both general and actionable, while being sensitive to the innovation in the market. The standards, The standards, Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” The endorsement of the standards lays the groundwork for a stablecoin ecosystem that prioritizes transparency, security and consumer protection. With increased scrutiny from regulators and growing demand for digital assets, unified standards can provide clarity and assurance to both industry participants and the public. Stablecoin Standard’s new framework aims to accelerate the adoption of stablecoins by fostering greater confidence among consumers, regulators, and traditional financial institutions. Ramy Soliman, Co-Founder of Stablecoin Standard, commented on the endorsements: “The endorsement of our global standards by leading stablecoin issuers such as, BiLira and ecosystem participants, including industry leaders like Solana, Zodia Markets and JST Digital, is a vital step toward establishing a unified, trusted framework for the entire sector. As stablecoins continue to redefine the future of digital payments, these standards will provide the foundation for long-term growth, transparency, and security. This collective commitment—solidified during discussions at our annual meeting—not only underscores the industry’s dedication to fostering innovation but also demonstrates a concerted effort to align with evolving regulatory expectations and build the consumer trust essential for stablecoins to thrive globally.” Stablecoin Standard and its endorsing members plan to continue refining these standards for implementation with the goal of achieving industry-wide adherence by Q4 2025. Quotes from Endorsers: Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” About Stablecoin Standard Stablecoin Standard (SCS) is the industry body focused on setting operational, transparency, and product related standards for stablecoins. The SCS plans to achieve industry wide standards by sharing international best practices, business development use cases, forming industry led working groups defining what a high-quality liquid stablecoin should look like, and engaging with policymakers domestically & internationally. The SCS ecosystem consists of over 30 advisory board members, industry partners and issuers that offer digital currencies in global jurisdictions such as the US, EU, Singapore, Australia, and Turkey - among others. Users can follow the Stablecoin Standard on LinkedIn and X and to learn more, please visit: https://stablecoinstandard.com/ LinkedIn LinkedIn X X https://stablecoinstandard.com/ https://stablecoinstandard.com/ Contact Kevin McGrath stablecoinstandard@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Leading Stablecoin Issuers And Crypto Firms Embrace International Set Of Stablecoin Standards

Nayrir Emisores Stablecoin Ukat Firmas Cripto ukanakax Conjunto Internacional De Estándares De Stablecoin ukar katuqapxi

Els principals emissors de Stablecoin i les empreses de criptografia adopten un conjunt internacional d'estàndards Stablecoin

Führende Stablecoin-Emittenten und Krypto-Unternehmen übernehmen internationale Stablecoin-Standards

Los principales emisores de monedas estables y empresas de criptomonedas adoptan un conjunto internacional de estándares para monedas estables

Stablecoin-ի առաջատար թողարկողները և կրիպտո ընկերությունները ընդունում են Stablecoin ստանդարտների միջազգային փաթեթը

主要なステーブルコイン発行者と暗号通貨企業が国際的なステーブルコイン基準を採用

អ្នកចេញ Stablecoin ឈានមុខគេ និងក្រុមហ៊ុន Crypto ទទួលយកស្តង់ដារអន្តរជាតិនៃ Stablecoin

선도적인 스테이블코인 발행자와 암호화폐 회사, 국제 스테이블코인 표준 채택

Umalliq Stablecoin Emisorkuna Hinallataq Crypto Firmakuna Abrazan Internacional Conjunto De Stablecoin Estándares

ผู้ให้บริการ Stablecoin ชั้นนำและบริษัท Crypto ต่างยอมรับมาตรฐาน Stablecoin ระดับสากล

معروف Stablecoin جاری کرنے والے اور Crypto فرمیں Stablecoin کے معیارات کے بین الاقوامی سیٹ کو قبول کرتی ہیں

领先的稳定币发行者和加密货币公司采用国际稳定币标准

School is Dead. Embrace Modern Education Instead.

স্কুল মৃত। পরিবর্তে আধুনিক শিক্ষা গ্রহণ করুন।

Die Schule ist tot. Setzen Sie stattdessen auf moderne Bildung.

La escuela está muerta. En su lugar, adopte la educación moderna.

L'école est morte. Adoptez plutôt l’éducation moderne.

स्कूल ख़त्म हो चुका है। इसके बजाय आधुनिक शिक्षा अपनाएँ।

学校は死んだ。代わりに現代教育を受け入れよう。

학교는 죽었다. 대신 현대 교육을 수용하십시오.

A escola está morta. Em vez disso, abrace a educação moderna.

Школа мертва. Вместо этого используйте современное образование.

Okul Öldü. Bunun yerine Modern Eğitimi Benimseyin.

Trường học đã chết. Thay vào đó hãy đón nhận nền giáo dục hiện đại.

学校已死。拥抱现代教育。

DELAWARE, United States, June 6th, 2024/GamingWire/--Warped Games studio was caught unaware last week when an intern leaked promotional material from their in-development title “Warped Universe” on X/Twitter. With over 70,000 people following the account, the leak quickly gained traction, catching the attention of Web3 gaming influencers who quickly ran with the alpha. The post racked up 80,000 impressions over the subsequent days before the Warped Team decided they might as well keep the post live. The intern acknowledged his error. When contacted for more insight on the matter, Scott Brown, President and Lead Game Developer of Warped Universe, mentioned in his official statement that while “the leak was not ideal”, yet came with a silver lining. “For a team that has been building for the last 2 years, this was a real mood lifter, as the market reacted extremely positively to the video”. He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” The colourful warped nature of the world and art style puts players in an environment previously unexplored in the Sci-Fi genre, giving a unique gaming experience. ​​ Scott shared that Warped Universe will be a community-centric game, where every token holder can have an influence, but that it wouldn’t function exactly like a DAO, telling “Token holders will influence what's going to be happening in the game. Where’s it going? What’s being added? There are a lot of games that have tokens inside the game, where you're buying the tokens which are buying cosmetics or items in the game. They’re different things. Our token is influencing the game, more than it influences the day-to-day gameplay”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. It has been shown on the Warped Games’ social media profiles, that two of the four game modes mentioned in this Sci-Fi Web3 epic will be real-time action shooter and turn-based strategy, arguably targeting two of the biggest gaming markets right now. About Warped Games Warped Games is a gaming studio comprising passionate developers and designers with backgrounds at industry giants such as Pixar, Disney, LucasArts, EA, Rockstar, Sony, Netflix, and more. Team members have worked on Lego Universe, Star Citizen, Jumpgate, Dragons & Titans, and others, and have a proven track record in building MMOs, RPGs, and FPSs. This depth of experience is vital as Warped Games develops Warped Universe, a unique, “play your own way” Web3 gaming title on Unreal Engine 5 that redefines the sci-fi genre. Warped Games is working towards leading both players and studios into the next era of gaming. Contact PR manager Ramsey Shallal Warped Games ramsey@gelocubed.com This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. DELAWARE, United States, June 6th, 2024/GamingWire/--Warped Games studio was caught unaware last week when an intern leaked promotional material from their in-development title “Warped Universe” on X/Twitter. With over 70,000 people following the account, the leak quickly gained traction, catching the attention of Web3 gaming influencers who quickly ran with the alpha. The post racked up 80,000 impressions over the subsequent days before the Warped Team decided they might as well keep the post live. The intern acknowledged his error. When contacted for more insight on the matter, Scott Brown , President and Lead Game Developer of Warped Universe, mentioned in his official statement that while “the leak was not ideal”, yet came with a silver lining. “For a team that has been building for the last 2 years, this was a real mood lifter, as the market reacted extremely positively to the video”. Scott Brown Scott Brown He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” The colourful warped nature of the world and art style puts players in an environment previously unexplored in the Sci-Fi genre, giving a unique gaming experience. ​​ Scott shared that Warped Universe will be a community-centric game, where every token holder can have an influence, but that it wouldn’t function exactly like a DAO, telling “Token holders will influence what's going to be happening in the game. Where’s it going? What’s being added? There are a lot of games that have tokens inside the game, where you're buying the tokens which are buying cosmetics or items in the game. They’re different things. Our token is influencing the game, more than it influences the day-to-day gameplay”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. It has been shown on the Warped Games’ social media profiles , that two of the four game modes mentioned in this Sci-Fi Web3 epic will be real-time action shooter and turn-based strategy, arguably targeting two of the biggest gaming markets right now. Warped Games’ social media profiles Warped Games’ social media profiles About Warped Games Warped Games is a gaming studio comprising passionate developers and designers with backgrounds at industry giants such as Pixar, Disney, LucasArts, EA, Rockstar, Sony, Netflix, and more. Team members have worked on Lego Universe, Star Citizen, Jumpgate, Dragons & Titans, and others, and have a proven track record in building MMOs, RPGs, and FPSs. This depth of experience is vital as Warped Games develops Warped Universe, a unique, “play your own way” Web3 gaming title on Unreal Engine 5 that redefines the sci-fi genre. Warped Games is working towards leading both players and studios into the next era of gaming. Contact PR manager Ramsey Shallal Warped Games ramsey@gelocubed.com This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Warped Games Embraces Premature Teaser Release To Highlight "Warped Universe"

Failure is Required, So Embrace It: Understanding Fail-Safe and Fail-Fast Strategies In Software

ব্যর্থতা প্রয়োজন, তাই এটিকে আলিঙ্গন করুন: সফ্টওয়্যারে ব্যর্থ-নিরাপদ এবং ব্যর্থ-দ্রুত কৌশলগুলি বোঝা

Fehler sind unvermeidlich, also akzeptieren Sie sie: Verstehen von Fail-Safe- und Fail-Fast-Strategien in der Software

El fracaso es necesario, así que acéptelo: comprensión de las estrategias de software a prueba de fallos y rápido

L'échec est nécessaire, alors acceptez-le : comprendre les stratégies de sécurité et d'échec rapide dans les logiciels

विफलता आवश्यक है, इसलिए इसे स्वीकार करें: सॉफ्टवेयर में विफलता-सुरक्षित और विफलता-त्वरित रणनीतियों को समझना

失敗は必要だから受け入れよう: ソフトウェアにおけるフェイルセーフとフェイルファスト戦略を理解する

실패는 필수이므로 이를 수용하세요: 소프트웨어의 오류 방지 및 오류 방지 전략 이해

A falha é necessária, então aceite-a: entendendo estratégias à prova de falhas e rápidas em software

Провал обязателен, поэтому примите его: понимание отказоустойчивых и отказоустойчивых стратегий в программном обеспечении

Başarısızlık Gereklidir, O halde Onu Kucaklayın: Yazılımda Arızaya Karşı Korumalı ve Arızayı Hızlandırma Stratejilerini Anlamak

Thất bại là bắt buộc, vì vậy hãy chấp nhận nó: Tìm hiểu các chiến lược an toàn và thất bại nhanh trong phần mềm

失败是必然的，所以要接受它：理解软件中的故障安全和快速失败策略

Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices, including machine learning operations (MLOps). For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate. Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. only As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices , including machine learning operations (MLOps). AI adoption best practices AI adoption best practices For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate.

It’s Time for Developers to Embrace Security as a Core Job Function

*** The History of Science Funding The scientist has always been a risky employee in terms of ROI.  They are trying to uncover truths about the universe, and oftentimes, the universe gives them the bird. Because experimenting means risking a lot of money and time on a possibly worthless idea, a scientist is a forever intern, until they make a breakthrough, then they become senior associates. That said, the scientist has been trying to make his own money. With the Alchemists, this was literal. While they invented Chemistry and catalyzed the birth of worldwide gold rushes, turning lead into gold was, alas, a wrong idea believed for centuries. The search consumed the lifetime of one person after another, with only dreams of wealth to get them through. But their tenacity was a testament to their resilience and patience. Patience meant, for the time being, remaining in the employ of someone who could afford the risk of backing science in the past. And that meant a King because they had gold/money collected from taxes. Wizards and fortune tellers didn’t make much sense, and they were comedians come to give the King a jolly time before he went to war. Though, while throwing guts on a wall may be stupid, it was mysterious and if they were right, doubly impressive. And here was this (broke) scientist, insisting that they knew a REAL strategy to help the King win. What was their credibility? Circa 200BC, the scientist is Archimedes and the King is the political head of Syracuse. Being a leader in those times largely meant you needed to win wars and as history had taught Kings the utter uselessness of charlatans, the scientist was given a chance to make his case. Archimedes made his case alright. It that he sunk the ships of the Romans with ingenious cranes and catapults that threw heavy stones. has been recounted Since his time, patronage from Kings, Princes, Bankers and Presidents to scientists has been immense. The scientist is respected, and all great scientists, even Leonardo da Vinci who was mostly fawned over for his impressive artwork, took off some time to design weapons. For weapons help the King win and hence, keep the scientist with a job. Scientists soon became ever more pivotal in war efforts. Especially Physicists and Chemists, who have designed countless forms of military hardware to date. However, the emergence of scientific methods in Economics, Sociology, Psychology, Biology, all riding on the power of statistical analysis and logical inference, quickly made the scientist important in every field of human endeavour. The problem however remained. To get a loan, the scientist usually had to, and still has to, rely on government funding because the government remains the biggest fish able to take on sufficient risk in the financial markets. Hate it all you want, but without credit from the government, be it debt or real money, a lot of scientific work would have stalled. Best example - SpaceX. However, governments and their ability to debase money and finance things on debt, made the world wars last longer to destroy the world much harder. It also led to economic depressions and after the 2008 financial crisis, Satoshi Nakamoto, a genius computer scientist, decided to create Bitcoin – a monetary tool outside the purview of government currency debasement. Birth of a financial model divorced from the King Bitcoin has been controversial from its inception. Of course, Kings and governments hate it. It is cutting into their business. A big part of the private sector also loathes its nature of priding in technological exclusivity, so that six years later, a hard fork was implemented to create Ethereum, a cryptocurrency built to provide extra blockchain services such as smart contracts. Many other hard forks quickly followed from the faithless. However, Bitcoin is still mainstream and has recently become interesting to Big Finance. The Bitcoin ETF proves as much. After 15 years of laughing at a thing that keeps building bigger and better, even the harshest critic will shut up and start listening more intimately. Because they now know they are missing something. Energy scientists are also starting to pay attention, with some claiming that Bitcoin mining may be our . are doing well selling cheaper electricity packages that have been subsidized by Bitcoin mining on the side. fast track to an energy transition Energy engineers But these are late to the party. Computer scientists have been earning well in Bitcoin, Ethereum, Doge for decades. And if any scientist has been comfortably living outside the need to get big budget funding from governments, that has been the computer scientist, from way back in the 20th century. While the field of Computer Science is much younger than Physics, Astronomy, Biology, many computer scientists quickly learned to earn big from private enterprise and individualized work, without begging the Kings and their Big Bankers for a loan. Futuristic Science Funding itself through Bitcoin Bitcoin is money for the people, and science has evolved to also be something done as a public good, on an open source plan, by dedicated people who put in their own time and money to make something good happen. As I mentioned, Computer Scientists now exist on the internet who are eagerly improving the Bitcoin ecosystem using the power of collaboration and their earnest efforts. These mostly come from the land of software development and after getting orange-pilled, decide to stay at Bitcoiner-land and build the Bitcoin ecosystem. However, there has not been much of an on-ramp for other types of scientists and this is the opportunity existing, wide open, for anybody to take. Currently, many a scientist in the Bitcoin world is a computer scientist of the type who builds zero-knowledge proofs, rollups, and more layers of the Bitcoin blockchain. But many more scientific people are needed. To re-iterate, I feel more electrical and power engineering scientists should be at the forefront of how Bitcoin mining equipment can provide electricity access to those without, making investments in clean, stranded energy sources much easier to manage. What better job than to be the electric engineer who designs their own job by bringing electricity to your people? Every university student of electrical engineering, whatever the developing country, should learn about this. Because developing countries in Africa, Asia and Latin America are struggling with scaling electricity usage from otherwise cheap energy sources, because of the high premiums that locals just cannot pay. The knowledge of using Bitcoin to subsidize electricity access from stranded energy sources should be spread as far and as widely as possible. Now, as an aspiring quantum information scientist, I feel there is also a place for me in the Bitcoin ecosystem. While the public might know how quantum information science threatens to undo the good that Bitcoin has done by potentially hacking it, I find that building quantum-resistant algorithms is far from scratching the surface of quantum capabilities. For example, quantum technologies could provide for Bitcoin nodes, allowing even weak signals to be successfully transmitted and ensure blocks are mined. better signal sensors Quantum computing could help guide better on how Bitcoin infrastructure could be better set up across nations and continents for optimum usage. solutions in logistics Quantum networks could provide better ways to securely. transmit Bitcoin information Some problems in the Bitcoin ecosystem could be (Bounded-error Quantum Polynomial) problems, which are the purview of quantum information science and these should be discovered and worked on using quantum computers. BQP Most importantly, quantum computers will be orders of magnitude better at mining proof-of-work cryptocurrencies than classical computers. When Bitcoin befriends Quantum Mechanics Moore’s law is coming to an end. IBM has already built transistors with only 5 atoms. To get smaller, it becomes harder to manage thermal noise and other nanoscale problems. To manage thermal noise, even more cooling will be done, the way it is done for qubits. Also, a 1-atom transistor is effectively a qubit. This is the quantum realm, and like it or not, more people will study quantum mechanics in the not-too-distant future, and by extension, quantum computing. The classical computing world can only scale by a multiplicity of the same technology, which will consume even more energy. The efficiency gains of quantum technologies like quantum computers will be needed. While , the science of building qubits is ramping upwards and systems are getting more powerful. There might not be an exponential growth in qubits with their own Moore’s law, but a linear growth in qubits leads to exponential computational power. Which kind of is a Moore’s law! I have said quantum computing is very expensive You remember this graph; If approximately 14 billion dollars in 2023 can bring in (logical qubits are the real qubits as manipulated in mathematical theory), by linear extrapolation, $125 billion by 2030 as seen above will bring in 428 logical qubits. 48 logical qubits But 7 years from now, Bitcoin itself might have ballooned to $200,000 per bitcoin which is a $4.2 trillion market cap. By linear extrapolation, $3 trillion is needed in global investments to take us to 10,000 logical qubits. As we can see, Bitcoin alone can pay for it over a 7-year span. Why 10,000 qubits? My Research Project Over the past three months, I have been studying QCourse551-1 which was offered in a collaboration between QWorld and Classiq Technologies. My research project was Project 11 - Bitcoin Mining using Grover’s Search Algorithm. The motivation for my project came from that shows that 10,000 logical qubits alone can do Bitcoin mining faster than any classical system using the same energy consumption. a research paper This is because 10,000 qubits can encode the full double SHA256 hashing process that goes into mining Bitcoin, but since they use Grover’s search algorithm, they effectively achieve quadratic speed-up by square_root(N) where N is the number of elements to check in an unstructured database. ASICs mining for bitcoins also check an unstructured database of random hashes for the nonce value. The question is, which one is faster? Most ASIC miners today are checking terahashes or For example checks 120TH/s. That is 120 million hashes every second. 1 million hashes every second. this miner Can a quantum computer beat that? Of course. square_root( 120 million) = only 10954 checks per second. A 1,095,400 % efficiency increase. And the more the competition, the more the quantum computer tears ahead in the race. The is rocketing upwards of 600 million million hashes per second. This is outputting enough heat to make climate scientists worried sick. But what if we replaced all those clunky ASICs with state-of-the-art QPUs from the year 2032, how many comparative hashes per second would they clock? square_root( 600 million million) = 24 million checks per second. A . current hash rate 2.4 billion % increase in efficiency If the above is not an attractive proposition, I don’t know what is. Bitcoin should fund quantum computing research. It will take a while, but when it happens, it will be glorious. It will be a more canonical event than the Moon landing. In our research, we were checking a much-simplified system with only 8-bit inputs and outputs, modeled on a Grover’s operator working with under 25 qubits. Given our really low hashing power, the advantages of Grover’s search could not be gleamed first hand, and could only be inferred with a relevant complexity analysis of the runs/depth of the Classical computer (my laptop) vs the depth of our Grover’s circuit executed on the Classiq Aer simulator. While it would have been good to model the energetics and the complexity graph of what this means, unfortunately, we ran out of time. However, we had some deliverables to show for our work. Below is what we had including the depth of each circuit. a) The simplified MD5 classical algorithm We modeled a simplified version of the MD5 (a most primitive cousin of SHA256) hashing 95 printable ASCII characters to find the nonce for hex values with difficulty = 1. Note: Our hex values were only 2-digit because we are working with 8-bit values. So our possible difficulty 1 values are only in 16 possibilities i.e. 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0a, 0b, 0c, 0d, 0e, 0f. 00 is also a difficulty 2 element. Hence the searching/hashing function is called simplified_MD5_8bit_difficulty_1or2. def simplified_MD5_8bit_difficulty_1or2():
    printables_list = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~'
    for i in printables_list:
        x2 = ord(i)

        x3 = bin(x2)[2:]

        if len(str(x3))==7:
            x4 = x3+'0'
        if len(str(x3))==6:
            x4 = x3+'00'

        x5 = list(x4)

        a0 = 2*int((x5[0]))
        a1 = int(x5[1])

        b0 = 2*int((x5[2]))
        b1 = int(x5[3])

        c0 = 2*int((x5[4]))
        c1 = int(x5[5])

        d0 = 2*int((x5[6]))
        d1 = int(x5[7])

        a = a0 + a1

        b = b0 + b1

        c = c0 + c1

        d = d0 + d1
    
        a = ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b)
        
        print()

        d1 = d//2
        d0 = d%2
        d = d1*(2**7) + d0*(2**6)

        a1 = a//2
        a0 = a%2
        a = a1*(2**5) + a0*(2**4)

        b1 = b//2
        b0 = b%2
        b = b1*(2**3) + b0*(2**2)

        c1 = c//2
        c0 = c%2
        c = c1*(2**1) + c0*(2**0)

        decimal_result = d + a + b + c
        binary_result = bin(decimal_result)[2:]
        print(binary_result)
        hex_result = hex(decimal_result)
        print(hex_result)

        if hex_result == '0x0':
            difficulty_2.append(hex_result)
            collisions_difficulty_2.append(i)
        if hex_result == ('0x1' or '0x2' or '0x3' or '0x4' or '0x5' or '0x6' or '0x7' or '0x8' or '0x9' or '0xa' or '0xb' or '0xc' or '0xd' or '0xe' or '0xf'):
            difficulty_1.append(hex_result)
            collisions_difficulty_1.append(i)

    print('Difficulty_1 list = ',difficulty_1)
    print('Difficulty_2 list = ',difficulty_2)
    print('Colliding inputs for difficulty 1 = ',collisions_difficulty_1)
    print('Colliding inputs for difficulty 2 = ',collisions_difficulty_2)
    
difficulty_2 = []
difficulty_1 = []     
collisions_difficulty_1 = []
collisions_difficulty_2 = []

import numpy as np
simplified_MD5_8bit_difficulty_1or2() As can be seen, to find the difficulty 1 (and by extension the difficulty 2) elements, we have to reiterate through 40 lines of code (ignoring spaces and printing in the for loop). There are 96 printable ASCII characters to hash and check hence 96 * 40 which gives us a circuit depth of 3840. However, this is run through fast by my laptop. Less than a few seconds. b) The simplified MD5 quantum algorithm We modeled a quantum version of our simplified MD5 algorithm to simulate finding the difficulty 1 nonce values no matter what the input ASCII character to the circuit was. This is possible because all we need is a zero at the beginning of our hex value. Since our hash set was small (only 96 ASCII characters), we tuned the system to ignore the input ASCII value so it is redundant, and to aim to capture all possible zeros given the Arithmetic expression; a == ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b) which is also in the classical Python algorithm. Notice that the 4 functions being added together are derived from the . original MD5 algorithm Since we want difficulty 1 values, we add and to the above function and then synthesize it in the Classiq platform. d = 0 a = 0 (Note: This is a shortcut thanks to the tireless work of the Classiq team. The Python code was also built in the Classiq Python SDK but it had a last-minute glitch. Hence we only have working Python SDK code for the Grover’s operator, but not for the Grover’s operator with a difficulty-1 hash/search, which is what you had to see here ) Hence our input Arithmetic expression is; a == ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b) and d == 0 and    a == 0 The resulting circuit has a depth of only 913 The quantum circuit wins! Endnote While the project time ended, our work is still a work in progress, to continue until we build a functional 10,000 qubit quantum bitcoin miner. Voluntary efforts to support us technically are most welcome. Some of our code is still glitchy and we have only scratched the surface of the Classiq platform’s capabilities. An ingenious software tool that takes away the cumbersome tinkering with gates, as would have been needed for anybody building the same project using Qiskit. Special thanks to Classiq and QWorld for the opportunity. And our mentor - Dr. Eyal Cornfeld, for the guidance. ***

Hash Rate Analysis Projections: Why Bitcoin Should Embrace Quantum Information Science

হ্যাশ রেট বিশ্লেষণ অনুমান: কেন বিটকয়েন কোয়ান্টাম তথ্য বিজ্ঞানকে আলিঙ্গন করা উচিত

Prognosen zur Hash-Rate-Analyse: Warum Bitcoin die Quanteninformationswissenschaft nutzen sollte

Proyecciones del análisis de la tasa de hash: por qué Bitcoin debería adoptar la ciencia de la información cuántica

Projections d'analyse du taux de hachage : pourquoi Bitcoin devrait adopter la science de l'information quantique

हैश दर विश्लेषण अनुमान: बिटकॉइन को क्वांटम सूचना विज्ञान को क्यों अपनाना चाहिए

ハッシュレート分析の予測: ビットコインが量子情報科学を採用すべき理由

해시레이트 분석 예측: 비트코인이 양자 정보 과학을 수용해야 하는 이유

Projeções de análise de taxa de hash: por que o Bitcoin deveria adotar a ciência da informação quântica

Прогнозы анализа скорости хэширования: почему Биткойн должен использовать квантовую информатику

Hash Rate Analizi Projeksiyonları: Bitcoin Neden Kuantum Bilgi Bilimini Kucaklamalı?

Dự đoán phân tích tỷ lệ băm: Tại sao Bitcoin nên áp dụng khoa học thông tin lượng tử

哈希率分析预测：为什么比特币应该拥抱量子信息科学

In the busy world of business today, technology is what takes you one step ahead. Artificial intelligence, or AI, is a powerful tool, and it adds automation which increases value to your safeguard as well as grows your business. Sometimes, AI is made to invite images of sterile and mechanical efficiency, but the truth lies elsewhere. It is a man-made tool for humans. The true worth of AI lies in its ability to accelerate human skills and create more time for innovative projects, as well as other strategic endeavors. Consider the boring things that suck out your team’s time; data input, runway analyses, or even customer inquiries. AI can take over these processes, so your employees will be able to spend time on tasks that involve , and an approach based on individuality. That is where the miracle of synergy between AI and human abilities occurs. emotional intelligence critical thinking AI Safeguards for Your Business Today’s digital atmosphere calls for absolute security. As the business changes, its threats also change. AI acts like a hardworking guard who is always vigilant towards inconsistencies identifying patterns and raising alarms of possible danger before it takes place. Imagine having an intelligent helper who can learn after each login, transaction, and interaction inside your business ecosystem. First, can detect anomalies that the naked eye would overlook, thus warning you against potential cybersecurity threats long before they cause serious consequences. AI algorithms A proactive defense such as this can make the difference between a simple occurrence and a total breach. Overcoming Resistance and Building Trust The integration of AI into the business is undoubtedly not harmful, but people may still be concerned about it. All these are the matters to be dealt with transparently, educatively, and committedness towards ethical AI methods. Humanizing AI means not only demonstrating its advantages but also what is wrong with it. Enhancing Customer Experience Through Personalization AI is one of the best-known benefits because it can process large volumes of data quickly. This is a feature that allows businesses to offer personalized services for their clients. AI detects customer behavior, what they like, and how to iron out their responses that can be employed for purposes of analysis as a manner of transmitting informative data regarding the product services and marketing approaches that will go in line with consumer opinions. Customers today crave individualized interactions. Used ethically and transparently, AI allows organizations to do exactly that. Navigating the Competitive Landscape Adaptability is the key to endure and flourish in business life. By using AI, businesses can have that allows these kinds of companies to foresee market trends and consumers’ preferences. Studying large-scale data sets, AI finds patterns and recommendations that will allow businesses to make informed decisions always leading the others. predictive analytics AI also allows for continuous enhancement through feedback loops. By leveraging AI systems, your organization can foster a culture of innovation through ongoing learning and improvement. Working in such a way guarantees that your business does not only coincide with time but becomes its source and dictates it. Trust is built gradually. First of all, it is necessary to interact with your team through the process of AI integration by training them and conducting open communication.  Demonstrate AI as another colleague instead of taking over human intellect and skill. If you develop an inclusive and open culture, it makes it easy to incorporate s without any problems. AI into your business processe The Future of Business: Human and Artificial Intelligence in Balance AI is far from being a dangerous matter for human workers but rather can be considered as the engine of development and new technologies including improved results. With a more humanized outlook on AI, business organizations can create an equilibrium that elevates the strengths offered by both computers and individuals.

Why Businesses Should Embrace AI to Stay Relevant in 2024

Scientific American, Volume XLIII., No. 25, December 18, 1880, by Various, is part of the HackerNoon Books Series. You can jump to any chapter in this book . The Embrace of the Mantis. here The Embrace of the Mantis. Mr. Addison Ellsworth favors us with a transcript of a letter from Mr. Albert D. Rust, of Ennis, Ellis County, Texas, describing a remarkable exhibition of copulative cannibalism on the part of the mantis. The ferocious nature of these strange insects is well known, and is in striking contrast with the popular name, "praying mantis," which they have gained by the pious attitude they take while watching for the flies and other insects which they feed upon. About sunrise, August 28, 1880, Mr. Rust's attention was attracted by a pair of mantis, whether or not, he was not sure, but from the length of the body and the shortness of the wings he was inclined to think them of some other species. The female had her arms tightly clasped around the head of the male, while his left arm was around her neck. Mr. Rust watched intently to see whether the embrace was one of war or for copulation. It proved to be both. As the two abdomens began to approach each other the female made a ferocious attack upon the male, greedily devouring his head, a part of the body, and all the arm that had encircled her neck. A moment after the eating began, Mr. Rust observed a complete union of the sexual organs, and the eating and copulation went on together. On being forcibly separated the female exhibited signs of fear at her headless mate, and it was with difficulty that they were brought together again. On being suddenly tossed upon the back of the female the male seized her with a grasp from which she could not extricate herself, and immediately the sexual union was renewed, to all appearances as perfectly as before. Mantis religiosa The pair were accidentally killed, otherwise, Mr. Rush thinks, the female would have continued her cannibalistic repast until she had devoured the entire body of her companion. This peculiarity of the mantis seems not to have been observed before, though their mutually destructive disposition has been noted by several. Desiring to study the development of these insects, M. Roesel raised a brood of them from a bag of eggs. Though plentifully supplied with flies, the young mantis fought each other constantly, the stronger devouring the weaker, until but one was left. M. Poiret was not more successful. When a pair of mantis were put together in a glass they fought viciously, the fight ending with the decapitation of the male and his being eaten by the female. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Various (2007). Scientific American, Volume XLIII., No. 25, December 18, 1880. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/21081/pg21081-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

The Embrace of the Mantis

My Journey Into the World of DevOps Once upon a time, in a land not too far from your favorite coffee shop 🙂, I found myself embroiled in the tumultuous world 🌍 of DevOps. Picture this: me, a wide-eyed code wizard, and a bewildering maze of servers, deployments, and late-night coding escapades. It was a place where sleep was optional, caffeine was the elixir 🧪 of life, and version control systems were my best frenemies. As I ventured deeper into the mystical realm of DevOps, I began to realize that it was a bit like trying to juggle flaming chainsaws while riding a unicycle on a tightrope. Okay, maybe not that extreme, but close enough. The pressure to deliver faster, the endless bug 🐞reports, and the ever-looming deadlines were enough to make anyone question their life choices. But then, like a beacon of hope, I stumbled upon the wondrous world of Continuous Integration (CI). It was like discovering the holy grail of software development, except it didn't involve knights or medieval quests, just a whole lot of automation and some seriously nifty tools. You see, CI is the secret sauce that brings sanity to the chaos of DevOps. It's like having a personal👩‍💻 assistant who diligently checks your code for errors every time you make a change, and trust me, my code needed all the checking it could get. No more sleepless nights wondering if my latest code commit had unleashed a digital apocalypse. Now, I know what you're thinking. "But Mr. DevOps Guru, how does CI actually work? Is it some kind of sorcery?" Well, not quite, but it's close. CI systems like Jenkins, Travis CI, and CircleCI watch your code repository like a hawk🔍. As soon as you make a change, they swoop in, grab your code, and run a battery of tests faster than you can say "syntax error." The best part? If your code breaks something, CI lets you know immediately. It's like having a personal trainer for your code, but without the judgmental stares when you skip leg day 🏋️‍♂️ (or test day, in this case). Now, here's where the magic happens 🔮. CI doesn't just find problems; it also fixes them. Picture this: you commit a piece of code that causes your app to crash every time someone clicks the "Submit" button. Without CI, you'd be frantically searching for the bug🐞, possibly drowning your sorrows in a tub of ice cream. But with CI, it's like having a team of code fairies who not only find the bug but also provide a fix. It's almost too good to be true. But wait, there's more! CI doesn't discriminate; it plays nice with others. Whether you're coding in Python, Java, or Klingon, CI has your back. It's like the Swiss Army knife of DevOps♾️, adaptable and always ready to lend a hand. So, no matter what your tech stack looks like, CI will fit right in. Now, I know change can be scary, and you might be thinking, "But I've been doing things this way for years, why fix what ain't broke?" Well, my fellow code wranglers, I used to be in that camp too. But once I embraced CI, I realized that it's not about fixing what's broken; it's about making something good even better. It's like upgrading from your trusty old flip phone to a shiny new smartphone—sure, the old one worked, but the new one opens up a world of possibilities you never knew existed. In the end, my journey into the world of DevOps led me to a profound realization: CI isn't just a tool; it's a philosophy. It's about embracing change, empowering your team, and delivering better software faster. It's about turning the chaos of DevOps into a well-orchestrated symphony where code flows smoothly, bugs are squashed with gusto, and sleepless nights become a thing of the past. So, my fellow DevOps adventurers, take a leap of faith, embrace Continuous Integration, and watch your code transform into a masterpiece. And remember, in the ever-evolving world of software development, it's not about stopping worry—it's about worrying less and coding more. Yours Truly – The DevOps Guru If you want to learn more about #DevOps, check out my article on The Best Practices For DevOps Pipelines Here

Confessions of a DevOps Guru: How I Learned to Stop Worrying and Embrace Continuous Integration 

Introduction In the dynamic realm of software development and operations, the term “DevOps” reverberates with significance. While it’s often associated with tools and practices, its true power lies in the transformation of organizational culture. Beyond a mere role or process, DevOps embodies a paradigm shift that redefines how teams collaborate, innovate, and deliver value to users. This article delves into the compelling journey of treating DevOps as a cultural evolution, catalyzing unprecedented collaboration, and fostering a holistic approach to software delivery. DevOps is not just a set of tools or a methodology; it’s a cultural shift that fosters collaboration, communication, and a shared sense of ownership across teams.” – Gene Kim, Co-author of “The Phoenix Project” and DevOps thought leader. The Genesis of DevOps Culture At its core, the DevOps culture is an embodiment of shared values, open communication, and a collective sense of ownership. Instead of relegating development and operations to separate domains, DevOps thrives on breaking down silos, aligning objectives, and forging partnerships. The genesis of a DevOps cultural shift is a testament to the organization’s commitment to change, innovation, and continual improvement. Rising Beyond Conventional Roles The magic of treating DevOps as a cultural transformation lies in its ability to transcend conventional job roles. Gone are the days of isolating developers from operations, often leading to misunderstandings and inefficiencies. Embracing DevOps as a cultural shift elevates every team member to a realm of shared responsibility. From developers and testers to operations engineers and business stakeholders, all converge as active contributors to the entire software lifecycle. Why Do Most Companies Fail in DevOps Adoption? While the potential benefits of a DevOps cultural shift are undeniable, many organizations struggle to realize its full potential. Several common pitfalls contribute to this failure: : DevOps is not just about tools and processes; it’s a cultural transformation. When leadership fails to fully embrace and advocate for this shift, it can result in half-hearted attempts that yield minimal results. 1. Lack of Cultural Buy-In 2. : Employees accustomed to traditional roles and processes may resist adopting new practices. Overcoming this resistance requires effective communication and education about the benefits of DevOps. Resistance to Change 3. : Breaking down silos between development and operations is a cornerstone of DevOps. Organizations that fail to foster collaboration and shared ownership struggle to realize the full potential of this cultural shift. Siloed Mindset 4. : Many organizations fall into the trap of believing that DevOps is about adopting specific tools. While tools are important, they should complement a broader cultural transformation rather than being the sole focus. Focus on Tools Alone 5. : Cultural changes take time to develop and become ingrained. Organizations that prioritize short-term gains over long-term cultural shifts may miss out on the full benefits of DevOps. Short-Term Mindset Case Study: Spotify’s DevOps Success Spotify, the music streaming giant, serves millions of users with its platform. To support the scale and speed required for its operations, Spotify embraced DevOps practices. Here are some noteworthy facts from their journey: : Spotify introduced a “Squad” structure, where small cross-functional teams are responsible for specific features or components. This promotes autonomy, innovation, and rapid decision-making. Squad Structure 2. : Squads are organized into larger “Tribes,” encouraging collaboration among related squads. “Guilds” facilitate knowledge sharing across Tribes, fostering a culture of continuous learning. Tribes and Guilds 3. : Spotify adopted continuous integration and continuous deployment (CI/CD) practices to streamline software delivery. This resulted in faster feature releases and quicker bug fixes, enhancing the user experience. CI/CD at Scale 4. : Spotify encourages experimentation and data-driven decision-making. Squads are empowered to make changes and measure their impact, contributing to the platform’s evolution. Experimentation Culture 5. : Spotify employs Infrastructure as Code principles, allowing teams to manage and deploy infrastructure using version-controlled code. This approach enhances consistency and reduces manual configuration efforts. Infrastructure as Code (IaC) 6. : Extensive automated testing ensures code quality and prevents regressions. This accelerates the development process and maintains a high level of reliability. Automated Testing 7. : Spotify promotes a blameless culture where failures are viewed as opportunities for learning rather than assigning blame. This encourages transparency and continuous improvement. Blameless Culture The result of Spotify’s DevOps journey? A platform that offers a seamless music streaming experience to millions of users worldwide, with frequent updates, high reliability, and a culture of innovation. How Organizations Can Truly Adopt DevOps Embracing DevOps as a transformative cultural shift requires careful planning, commitment, and a comprehensive approach. Here are key steps organizations can take to successfully adopt DevOps and foster a culture of collaboration and innovation: : Start from the top. Leadership buy-in and support are essential for driving cultural change. When leaders champion the DevOps transformation, it sends a clear message to the entire organization that this shift is a priority. Leadership Commitment 2. : DevOps is not just about tools; it’s about understanding the philosophy behind it. Provide training and workshops for employees at all levels to build a shared understanding of DevOps principles, methodologies, and benefits. Educate and Train 3. : Break down silos by forming cross-functional teams that include developers, operations personnel, testers, and business stakeholders. This approach encourages collaboration, knowledge sharing, and shared ownership. Cross-Functional Teams 4. : Implement continuous integration and continuous deployment (CI/CD) practices to automate and streamline the delivery pipeline. This helps reduce manual errors, increase deployment frequency, and ensure consistent releases. Continuous Integration and Deployment 5. : DevOps relies on data-driven decisions. Implement metrics to track the effectiveness of the DevOps transformation, such as deployment frequency, lead time, and mean time to recovery. Regularly analyze the data to identify areas for improvement. Measure and Improve 6. : Create a safe environment for experimentation. Encourage teams to try new approaches, technologies, and methodologies. Failure is an opportunity to learn and innovate. Encourage Experimentation 7. : Implement automation tools for provisioning, configuration management, testing, and monitoring. Automation reduces manual tasks, enhances consistency, and accelerates the delivery process. Automation 8. Invest in tools that facilitate collaboration, communication, and knowledge sharing among teams. Tools like chat platforms, collaboration boards, and documentation repositories foster a culture of openness. Collaborative Tools: 9. : Recognize and celebrate achievements along the DevOps journey. Acknowledge teams that successfully implement new practices, deliver features faster, or improve overall efficiency. Celebrate Successes 10. : Establish regular feedback loops with customers, end-users, and internal stakeholders. Incorporate their input to continuously refine and enhance products. Feedback Loops 11. : Begin the DevOps adoption journey with a pilot project or a specific team. Once successful practices are established, scale them gradually across the organization. Scale Gradually 12. : DevOps is an evolving field. Encourage teams to stay updated on industry trends, attend conferences, and participate in communities to learn from peers. Continuous Learning 13. : DevOps is not a one-size-fits-all approach. Every organization’s journey will be unique. Be prepared to adapt and iterate based on the organization’s evolving needs and goals. Adapt and Iterate Conclusion The transformation from a role-centric approach to a DevOps cultural shift is akin to opening a door to uncharted possibilities. Beyond the toolset and methodology, it’s a declaration of an organization’s commitment to collaboration, innovation, and resilience. When DevOps is nurtured as a culture, teams coalesce into a force capable of not only delivering software efficiently but also embracing change and evolving in stride with the industry. In this culture-driven DevOps journey, a harmonious symphony of minds transforms the software delivery process into an orchestration of excellence. By learning from common pitfalls, organizations can embark on their own DevOps cultural transformation journey, reaping the rewards of enhanced collaboration, innovation, and value.

Embrace DevOps as a Cultural Shift Rather Than Just a Role

Visual Studio Code (VS Code) has rapidly become the go-to code editor for developers due to its powerful features, extensibility, and community support. JavaScript developers, in particular, can enhance their productivity and streamline their workflow by harnessing a variety of high-quality extensions tailored to their needs. In this article, we'll explore the best VS Code JavaScript extensions that every developer should consider incorporating into their toolkit. ESLint ESLint is an essential extension for JavaScript developers looking to maintain code quality and adhere to best practices. With its customizable rules, ESLint can identify potential issues, enforce coding standards, and ensure consistent code formatting. The extension provides real-time feedback, highlighting errors and warnings directly in the editor, thus helping developers to catch and resolve problems early in the development process. Prettier Consistent code formatting is crucial for maintainability and collaboration. Prettier is a widely used code formatter that automatically enforces a consistent style across your JavaScript codebase. By integrating Prettier with ESLint, developers can ensure both code quality and uniformity, significantly streamlining the development process. GitLens GitLens is a powerful extension that enhances the built-in Git capabilities of VS Code. JavaScript developers can leverage GitLens to gain insights into code authorship, commit history, and changes made over time. The extension allows developers to view blame annotations, navigate through previous versions of files, and understand how specific lines of code have evolved over different commits. Bracket Pair Colorizer Managing nested code structures can be challenging, especially in JavaScript where indentation and bracket pairs play a crucial role. The Bracket Pair Colorizer extension visually enhances code readability by colorizing matching brackets, making it easier to identify code blocks. This simple yet effective tool significantly improves code navigation and editing efficiency. IntelliSense for JavaScript IntelliSense for JavaScript, also known as auto-completion, is a must-have extension for speeding up coding in VS Code. The extension provides intelligent code suggestions based on your JavaScript code, imported modules, and external libraries, making it effortless to find the right function, method, or variable without leaving the editor. JavaScript (ES6) Code Snippets Writing boilerplate code for common JavaScript patterns can be tedious and time-consuming. JavaScript (ES6) Code Snippets extension offers a collection of handy shortcuts for frequently used code snippets. From creating arrow functions to handling promises, this extension provides a plethora of snippets that help reduce repetitive typing and boost productivity. Quokka.js Quokka.js is a powerful live scratchpad extension that allows developers to experiment with code and instantly see the results in real-time. It provides an interactive environment right inside VS Code, enabling JavaScript developers to test expressions, functions, and evaluate variables without the need to run the entire application. Better Comments While collaborating on projects or revisiting old code, understanding comments and their relevance can be challenging. Better Comments is an extension that enhances code commenting by colorizing and categorizing comments based on specific tags. This makes it easier to differentiate between general notes, to-dos, and important reminders within the codebase. npm Intellisense npm Intellisense is a time-saving extension that simplifies the process of importing modules from npm packages. As you type, the extension automatically suggests package names, making it effortless to locate and include the desired modules in your JavaScript projects. Debugger for Chrome Debugging is an integral part of the development process, and Debugger for Chrome extension facilitates smooth debugging of JavaScript code within the VS Code editor. Developers can set breakpoints, inspect variables, and step through code to identify and rectify issues, all while leveraging the Chrome Developer Tools interface. If you like this article and would like to stay in touch with me, then consider subscribing to my Hackernoon newsletter, hit that subscribe button on my profile page.

The Top VS Code JavaScript Extensions Every Developer Should Embrace

is a term used to describe technology that allows computers to replicate some aspects of human vision, and identify or analyze objects. Computer vision This technology is becoming increasingly popular for surveillance and smart camera applications, as well as facial recognition for securing banking transactions. As financial institutions automate more and more processes, they are turning to computer vision to solve various and provide greater security while reducing costs. customer service problems It enables banks to enjoy increased efficiency and improved accuracy in identifying customers and approving transactions. Computer vision can give banks a competitive advantage in the market. It will enable banking institutions to identify their customers quickly and accurately, which in turn will reduce the chances of fraudulent activity. In this article, we are going to look at different ways financial institutions can leverage computer vision technologies for more efficiency. Let’s get started. 1. Enhancing Customer Experience Digital banking is becoming increasingly popular. So banks are looking for ways to make the customer experience as seamless and secure as possible. One technology that banks are turning to is computer vision. . They can use computer vision to quickly and accurately match customers to their existing records and then allow them to access their accounts in no time. Through the use of facial recognition, banks can provide a secure authentication process that is both convenient and reliable In addition to facial recognition, computer vision is also being used by banks to certain document processing tasks. automate For example, banks may use computer vision to quickly scan and read forms, documents, and contracts, allowing them to process transactions faster and with more accuracy. This also helps reduce paperwork, cutting down on the time and resources needed to implement certain processes. Ultimately, computer vision can be used to drastically upgrade the banking experience for customers. With advanced features such as facial recognition and automated document processing, banks can provide customers with a smoother, more secure experience. Not only does this improve the customer experience, but it can also help banks reduce costs and save time. 2. Streamlining KYC/AML Processes In recent years, banks have been looking to computer vision to help simplify and streamline their Know Your Customer (KYC) and Anti-Money Laundering (AML) processes. . By leveraging facial recognition, a bank can rapidly verify a customer's identity without any manual steps This ensures that identity verification is up-to-date and secure. Computer vision is used to automatically verify identity documents, such as passports, driver's licenses, and birth certificates. This eliminates manual document checks, significantly speeding up the process. . This helps identify trends and suspicious behavior quickly and accurately. Furthermore, customer profiling is automated by monitoring customer profiles across multiple channels Professional Bank, a financial institution based in Florida, leveraged to accelerate their KYC process. Vouched.id’s identity verification platform Vouched.id combines facial recognition, document verification, and proprietary AI-powered tools to reduce the need for manual input, reducing time and cost significantly. decisioning It helped them set in motion a transformative digital onboarding experience, where clients can now open a personal checking account online in just a few minutes, saving a lot of time and hassle. 3. Automating Repetitive Tasks Banks can use computer vision to automate time-consuming, manual, and repetitive tasks such as data entry, document sorting, and customer segmentation. Data entry is one of the classic automation tasks. . When tasked with entering data from paper or electronic documents, banks can use computer vision to rapidly scan the documents and input the relevant data into the system Document sorting is another task that can eat up a lot of time, but computer vision can help alleviate the burden. By running documents through an automated process and feeding the scanned content into an AI-driven system, banks can quickly and accurately sort documents based on predefined criteria. Another area in computer vision that can shine is when it comes to customer segmentation. By incorporating computer vision into their customer segmentation processes, banks can accurately and automatically group customers according to their needs. The AI can analyze customer data, including transaction records, demographic data, and behavioral patterns, to accurately segment customers. In summary, computer vision can be a powerful tool for banks that are looking to automate repetitive and time-consuming tasks. 4. Reducing Fraudulent Transactions Banks are turning to computer vision technology to combat fraud and automate customer risk assessment processes. Computer vision works by analyzing an image or video of a customer and then attempting to detect patterns of fraud. It can do this by looking for discrepancies in behavior compared to the customer’s past transactions. . For example, a customer that makes large purchases frequently could be flagged as potentially fraudulent Using computer vision, banks can also automate transaction monitoring. By having computer vision algorithms scan through the millions of transactions a bank processes, the system can identify and alert the bank to any suspicious activity. This kind of automated fraud detection is becoming increasingly important as banks are currently facing a rise in fraud attempts. Computer vision can also help banks automate customer risk assessment. . By using computer vision to analyze customers’ activity, banks can create a better picture of a customer’s risk profile Leveraging computer vision enables banks to gain a competitive edge by automating these processes. This helps cut costs since the bank no longer has to constantly, manually review transactions or assess customer risk. 5. Implementing Payment Recognition By using computer vision to automatically process payments, banks can save time and resources on traditional manual payment verification processes. How does this work? . The system can or read the information on the documents and compare it with existing data. Banks can configure their systems to read scanned images or videos of payment documents such as receipts, invoices, or promissory notes automatically authenticate signatures This helps the bank recognize if the payment is correct and that it is from an authentic source. It can also be used to authenticate the payer. . The system can also detect patterns in the payment data to quickly recognize suspicious or fraudulent transactions. This can involve facial recognition, fingerprint scans, voice authentication, or other techniques This allows banks to take proactive steps to protect their clients from fraud. In addition to saving time and resources, computer vision-driven payment recognition also gives banks in the payment space. a competitive edge It helps minimize processing times while eliminating potential fraud. This enables banks to gain the trust of customers and provide an enhanced level of service. Conclusion Computer vision is already proving its value in the banking industry. Embracing AI technology is proving to be a way to increase accuracy and speed in certain tasks. Banks can now gain a competitive advantage by using computer vision as a means of automated fraud detection. great Moreover, banks are now looking beyond the basics to enhance user experience with interactive and intelligent systems. It can also help with streamlining customer identification processes, and quickly and . accurately verifying documents However, most computer vision technologies are still quite young. So further research into computer vision capabilities has the potential to reap great rewards. For instance, research into natural language processing capabilities could enable banks to use voice recognition instead of manual typing. Overall, computer vision is an important and rapidly developing technology with potential for the banking industry. By examining current trends and researching the capabilities of these technologies, banks can create a competitive advantage and increase efficiency.

How Can Banks Embrace Computer Vision Technologies to Effectively Compete?

¿Cómo pueden los bancos adoptar las tecnologías de visión por computadora para competir de manera efectiva?

Comment les banques peuvent-elles adopter les technologies de vision par ordinateur pour rivaliser efficacement ?

प्रभावी ढंग से प्रतिस्पर्धा करने के लिए बैंक कंप्यूटर विज़न प्रौद्योगिकियों को कैसे अपना सकते हैं?

銀行は効果的に競争するためにコンピュータ ビジョン テクノロジーをどのように活用できるでしょうか?

Como os bancos podem adotar as tecnologias de visão computacional para competir com eficácia?

Làm thế nào các ngân hàng có thể sử dụng công nghệ thị giác máy tính để cạnh tranh hiệu quả?

银行如何利用计算机视觉技术来有效竞争？

SwiftLint is the best tool to enforce coding standards and best practices. It comes with pre-defined rules that can be customized to suit individual project needs. However, sometimes the built-in rules fall short of project requirements. In such cases, we write regular expressions to fill the gap. While regex is a powerful tool, creating complex rules can be difficult or even impossible. This is where native SwiftLint rules come in. They're just like the rules that come with SwiftLint - they're written in Swift, efficient, and can catch more violations compared to regex. https://twitter.com/simjp/status/1558168307756318720?s=20&embedable=true The final project can be found at https://github.com/jpsim/swiftlint-bazel-example Setting Up the Project Install Bazel if not installed. brew list --formula | grep -q "bazel" || brew install bazel Start by creating a new directory. mkdir MySwiftLintRules && cd MySwiftLintRules Next, set up a new Bazel workspace. This involves creating several files and enabling bzlmod: touch .bazelrc WORKSPACE MODULE.bazel BUILD && echo "common --enable_bzlmod" > .bazelrc Add the boilerplate code to the MODULE.bazel module(
    name = "swiftlint-bazel-example",
    version = "0.0.0",
    compatibility_level = 1
)

bazel_dep(name = "swiftlint", version = "0.51.0", repo_name = "SwiftLint")
extra_rules = use_extension("@SwiftLint//bazel:extensions.bzl", "extra_rules")
extra_rules.setup(srcs = "@swiftlint-bazel-example//swiftlint_extra_rules:extra_rules")

bazel_dep(name = "rules_xcodeproj", version = "1.4.0") Add the boilerplate code to the file. This will add Xcode support for our Bazel project. BUILD load("@rules_xcodeproj//xcodeproj:defs.bzl", "xcodeproj")

xcodeproj(
    name = "swiftlint_xcodeproj",
    project_name = "SwiftLint",
    tags = ["manual"],
    top_level_targets = [
        "@SwiftLint//:swiftlint",
        "@SwiftLint//Tests:ExtraRulesTests",
    ],
) Create a directory to store the source code for your rules. mkdir swiftlint_extra_rules && touch swiftlint_extra_rules/Rules.swift && touch swiftlint_extra_rules/BUILD And for the last time, paste the boilerplate code to the file swiftlint_extra_rules/BUILD filegroup(
    name = "extra_rules",
    srcs = glob(["**/*.swift"]),
    visibility = ["//visibility:public"],
) At this point, you should be able to build SwiftLint using the command. bazel build Developing Rules With Xcode We’ve added dependency to our project to make developing your custom rules easier. So, let’s generate our project: rules_xcodeproj bazel run swiftlint_xcodeproj && open SwiftLint.xcodeproj -a Xcode Now, we can build and debug the scheme. You can use this app as usual with swiftlint binary installed from the homebrew. swiftlint Try running it on your project: Click the scheme name in the , click “Edit Scheme…“, and set the "Working Directory" in the "Options" tab to the path where you would like to execute SwiftLint. toolbar of your project window For more information on developing native SwiftLint rules, check out SwiftLint’s CONTRIBUTING.md Adding a Custom Rule In this example, we are creating the "forbidden var rule," as shown in the video tutorial at . https://vimeo.com/819268038 Copy and paste this code into the file, then run the scheme in Xcode. Rules.swift swiftlint import SwiftSyntax

// This function should return an array containing all of your custom rules
func extraRules() -> [Rule.Type] {
	[ForbiddenVarRule.self]
}

struct ForbiddenVarRule: ConfigurationProviderRule, SwiftSyntaxRule {
	var configuration = SeverityConfiguration(.error)

	init() {}

	static let description = RuleDescription(
		identifier: "forbidden_var",
		name: "Forbidden Var",
		description: "Variables should not be called 'forbidden'",
		kind: .idiomatic,
		nonTriggeringExamples: [
			Example("let notForbidden = 0")
		],
		triggeringExamples: [
			Example("let ↓forbidden = 0")
		]
	)

	func makeVisitor(file: SwiftLintFile) -> ViolationsSyntaxVisitor {
		Visitor(viewMode: .sourceAccurate)
	}
}

private extension ForbiddenVarRule {
	final class Visitor: ViolationsSyntaxVisitor {
		override func visitPost(_ node: IdentifierPatternSyntax) {
			if node.identifier.text == "forbidden" {
				violations.append(node.identifier.positionAfterSkippingLeadingTrivia)
			}
		}
	}
} And that's it! You've created a custom SwiftLint rule and integrated it into your Swift project using Bazel. With this setup, you can create and test as many custom rules as you need, helping to ensure that your code stays consistent and conforms to your team's coding standards. Happy linting!

Embrace the Power of Custom SwiftLint Rules and Say Goodbye to Regex

কাস্টম সুইফ্টলিন্ট নিয়মের ক্ষমতা আলিঙ্গন করুন এবং Regex কে বিদায় বলুন

Nutzen Sie die Leistungsfähigkeit benutzerdefinierter SwiftLint-Regeln und verabschieden Sie sich von Regex

Adopte el poder de las reglas personalizadas de SwiftLint y diga adiós a Regex

Adoptez la puissance des règles SwiftLint personnalisées et dites adieu à Regex

कस्टम स्विफ्टलिंट नियमों की शक्ति को अपनाएं और रेगेक्स को अलविदा कहें

カスタム SwiftLint ルールのパワーを活用し、正規表現に別れを告げましょう

사용자 정의 SwiftLint 규칙의 강력한 기능을 활용하고 Regex에 작별을 고하세요.

Abrace o poder das regras personalizadas do SwiftLint e diga adeus ao Regex

Özel SwiftLint Kurallarının Gücünü Kucaklayın ve Regex'e Elveda Deyin

Nắm bắt sức mạnh của các quy tắc SwiftLint tùy chỉnh và nói lời tạm biệt với Regex

拥抱自定义 SwiftLint 规则的力量并告别正则表达式

It might be challenging to create an accessible online application in .NET, but ensuring that all users can view your web content is critical, especially if those users have visual, auditory, or movement limitations. Here are some things to keep in mind when developing accessible web apps. Use Semantic HTML The usage of semantic HTML is the first step in developing an accessible online application. Semantic HTML is markup that explains the stuff it represents properly. Semantic HTML allows screen reader users to grasp the material on your web page better. For example, for headers, use heading tags (H1, H2, H3, etc.) and for lists, use lists (UL, OL). 
<div>
  <span>My Heading</span>
  <p>Some text here</p>
</div>


<h1>My Heading</h1>
<p>Some text here</p> Use ARIA attributes ARIA characteristics (Accessible Rich Internet Applications) are a robust technique for adding accessibility information to online content that HTML alone cannot express. These characteristics can give critical information about a web page's purpose, condition, and properties. The information is especially crucial for screen reader users since it allows them to explore and engage with the website more efficiently. The website should be accessible and inclusive to all visitors, regardless of their skills, by including ARIA properties in your web development process. 
<div role="button" onclick="doSomething()">Click me</div>


<button role="button" onclick="doSomething()">Click me</button> Make forms accessible Web forms are a critical component of many web applications. To make them accessible to users with screen readers, it's crucial to provide clear and descriptive labels for all form elements. It enables users to understand the purpose of each field and complete the form accurately. Equally important is the need for clear and informative error messages that explain what went wrong and how to fix it. Implementing these practices ensures that all users, including those with disabilities, can successfully interact with your web forms and achieve their intended goals. 
<input type="text">


<label for="username">Username:</label>
<input type="text" id="username" name="username"> /* Style required fields with a visual cue */
input[required] {
  border: 2px solid red;
} Ensure color contrast Ensuring adequate color contrast is paramount for readability, especially for individuals with visual impairments. To optimize legibility, it is essential to achieve a sufficient contrast between the text and background colors. A color contrast checker tool is recommended to ensure your website adheres to the minimum contrast requirements. By prioritizing color contrast, it can improve the accessibility and inclusivity of your website for individuals with varying levels of visual abilities. /* Bad Example */
body {
  background-color: #777;
  color: #666;
}

/* Good Example */
body {
  background-color: #f5f5f5;
  color: #333;
} Use descriptive alt text While images are a crucial component of web design, they can pose accessibility challenges without descriptive alt text. Alt text is critical for screen readers to convey information about the image to users. To optimize accessibility, it is essential to use descriptive alt text that accurately describes the image's content. This ensures that users with visual impairments can fully understand the content and context of the image. Incorporating descriptive alt text into your web development process can improve the overall accessibility and inclusivity of your website. 
<img src="image.png">


<img src="image.png" alt="A happy dog playing in the park"> Ensure keyboard navigation Web accessibility must include keyboard navigation, especially for those who rely on it to navigate web pages due to motor limitations. Use only the Tab and Arrow keys to browse your page to test keyboard navigation. By doing this, it will be able to spot any keyboard navigation accessibility difficulties and make the required corrections to ensure everyone can utilize your website's navigation and user interface. 
<div onclick="doSomething()">Click me</div>


<button onclick="doSomething()">Click me</button> /* Highlight focused elements for keyboard users */
*:focus {
  outline: 2px solid blue;
} Summary To create an accessible web application in .NET, developers must prioritize accessibility best practices. These include utilizing semantic HTML, implementing keyboard navigation, incorporating descriptive alt text, ensuring sufficient color contrast, making forms accessible, using ARIA attributes, and thoroughly testing with assistive technologies. By implementing these steps, developers can ensure that their web applications are inclusive and accessible to all users, including those with disabilities. Also published . here

Design Philosophies You Should Embrace When Creating Web Applications For Users With Disabilities

It has been over 13 years since Satoshi Nakamoto dropped Bitcoin on an unsuspecting world. It was the blueprint for a digital currency and for monetary freedom. Today, 91.5% of Bitcoin’s 21 million coins are in circulation and has spawned countless copycats, including central bank digital currencies. The genie is out of the bottle. Bitcoin Unsurprisingly, computer games have embraced Bitcoin and cryptocurrencies. Gamers were strong early adopters of Bitcoin. However, gamers need to recognize that there is a big difference between games that are using cryptocurrencies to exploit their users and those that are using it to empower them. While cryptocurrencies are by their nature trustless, can you trust the motive of the company shilling their in-game coin? Not every game-based cryptocurrency is in the spirit of Satoshi. The ethos of Bitcoin . For thousands of years, people have stored gold as a hedge against the vagrancy of official currencies. Many cultures as far back as early Mesopotamia even used gold and other precious metals to make their coins. Bitcoin has more in common with gold than fiat currencies Today, the value of our fiat money is determined by the market: demand and supply. Demand moves as the economy moves, but supply is at the whim of governments and their central banks. If they find themselves in a tight financial spot, the temptation to print money can be hard to resist. In contrast, Bitcoin, like gold, has a fixed supply. No matter what happens, there will only ever be 21 million Bitcoins. Bitcoin is also trustless. It is decentralized and so leans on no government or company to oversee or control it. Holders are free to trade it how they like with as much anonymity as they like. The system is maintained by the economic incentives of mining and transaction fees. New supply is only created through demand (i.e. mining releases new Bitcoins as a reward for the verification of transactions made). “The root problem with conventional currency is all the trust that's required to make it work.” Satoshi. In these ways, Bitcoin and cryptocurrencies based on Bitcoin are a return to freedom from state monetary control and abuse. Translating the Bitcoin ethos into gaming It is clear to see which games are in keeping with the ethos of Bitcoin. Such games provide their users with more control over in-game currencies and items, control that is, as much as possible, free from the control of the founding company. This includes freedom from having to use Bitcoins. Forced adoption of something even if it is beneficial is not freedom. This is where many games fall down and others are exposed. Any decent game should be a game first and a cryptocurrency venture second. If users are forced to set up metamasks and wallets just so they can cosplay in the metaverse or fight in outer space or ancient Rome, this sounds like a convoluted financial scheme, not a game. An example of a game doing it the right way by Pixelmatic is an MMO space-based game where users take control of a fleet of ships and mechs to explore a procedurally-generated galaxy, expand their control, exploit resources, and exterminate the Atrox alien threat. Infinite Fleet Pixelmatic was founded by Samson Mow, who is best known for his work on titles like Company of Heroes, The Smurfs and Co., and Warhammer 40k: Dawn of War - Dark Crusade. Interestingly, further on in his career, he was the COO at crypto exchange and Chief Strategy Officer at blockchain technology company BTCC Blockstream. Infinite Fleet entered beta release in July and has several innovative features including a camera and control style that blends cinematic action and high-level strategy. It also has a user-controlled directed narrative so that players feel like they are masters of their own universe. The game has also recently launched a crypto wallet and is close to launching its in-game cryptocurrency (INF), NFT ships, and mechs. Unlike many other games with blockchain components, Infinite Fleet’s cryptocurrency and NFTs are completely optional. A wallet is automatically set up for players when they register an account, but they need not ever use it to play and succeed at the game. Instead players can join the game for free and can progress through skill and luck. Players earn INF by completing missions with no in-game shortcuts to purchasing INF. However, as players learn and get interested in blockchain, they can choose to engage with their wallet on their own terms. This approach reflects Mow’s joint passion for gaming and blockchain, while maintaining his commitment to the libertarian ethos of Bitcoin. “So the approach we're taking in Infinite Fleet is that the game currency is secondary. What we're building is a AAA MMO strategy game. And that is the first and foremost thing.” Ships and mechs are NFTs and while Pixelmatic naturally manages the issuing of ships, mechs, and INF, users are free to trade all three outside of the game P2P.  This includes atomic swaps, which allows digital assets to be exchanged with no counterparty risk. No need for a third-party exchange that charges fees, shares their data, and takes 2 to 3 days to complete an exchange. Players have complete control of the game’s assets in a trustless environment. “Players will always find a way to exchange their goods, so I figured, why not embrace the secondary market? Why not give power to the players and allow them to trade how they wish?” Samson Mow. Final thoughts New technologies are often quickly turned towards exploitative uses. Cookies and social media have become the tools of advertisers and AI facial recognition has become the tool of police states. Bitcoin was born in the spirit of freedom and has that ethos baked into its design. Imitators, including gaming studios, have embraced that ethos or watered it down. Players are free to vote with their keyboards, but my hope is that gaming can teach future generations the dream and promise of Satoshi Nakamoto.

Games That Embrace the Spirit of Satoshi

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