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Did You Know: Kubernetes Optimizes Audio-Streaming on Spotify! Spotify is an audio-streaming platform that was created with a vision to empower audio creators and endow listeners across the globe with a really immersive listening experience for all the customers across the globe. A customer-centric approach and a vision to empower creators have led to the exponential growth of the platform which has now grown to a superfluous number of 200 million monthly active users. Spotify, quite early, recognized the importance of containers and deploying microservices in a cloud-native environment. Consequently, they adopted a containerized environment pretty early and were amongst the few companies to even develop a home-grown platform for orchestrating the containers, which was named Helios. Adopting Kubernetes Meant Embracing Limitless Possibilities for Spotify Having adopted microservices and Docker quite early, Helios was a need-based innovation for managing the containerized environment for the Spotify team. However, the Spotify team soon realized the need to outgrow from this homegrown orchestration to Kubernetes. Helios only had limited features that could only be maintained by a small company at Spotify, contrary to this Kubernetes has many more functionalities that make it much more efficient than Helios and hence an obvious choice. Besides being laden with innumerable features Kubernetes also has an amazing community. To Spotify adopting Kubernetes was akin to adopting an orchestration tool that was not only already popular among many industry verticals but also could help their team get containers orchestrated more effectively, efficiently, and faster, and all of this, at a much lower cost than what the company had to incur with Helios. Also, there was a seamless migration from Helios to Kubernetes as Kubernetes could very effectively be used in conjunction with Helios, supporting migration until the platform became the only option for the full-fledged maintenance of the Spotify containers. Positive Impact of Adopting Kubernetes Migrating to Kubernetes required developing some core technological competencies. However, once the technological challenges were addressed and dealt with in 2019, and the company migrated to Kubernetes from their homegrown platform Helios, they experienced some amazing benefits in real-time business scenarios including the following: a)      The internal teams were able to considerably reduce the time spent on manual provisioning which meant that more time could be given to delivering features for Spotify. b)      The team was able to deploy some of its biggest services on Kubernetes, the likes that could handle as many as 10 million requests per second and cumulatively; the feature of Kubernetes proved simply amazing for the team. autoscaling Prior to adopting Kubernetes, deploying a new service for the team wasn’t this hassle-free. They had to at least wait for an hour to create a new service and would have to get an operational host for running the service in production. However, with Kubernetes the story was different. The same services could be deployed in seconds and minutes. c)       Kubernetes also helped improve the CPU utilization by 2 to 3 times approximately as it has the functionalities called bin-packing and multi-tenancy. d)      Kubernetes helped the autonomous engineering teams at Spotify work at a faster velocity and iterate more quickly even while working on different pieces of a project. Before switching to Kubernetes, Spotify since the year 2014 had been using microservices and Docker. The microservices were running across its fleet of Virtual Machines (VMs) and were containerized by leveraging Docker. The company used to manage and keep the data on-premises with the help of their home-grown container orchestration platform Helios before they migrated all the on-premise data to Google Cloud in the year 2016-17. Eventually, switching to Kubernetes proved to be a beneficial decision that offered innumerable advantages including accentuating the time of delivery of several services, leading to optimum business revenue. A substantial motive for the Spotify team to adopt Kubernetes was that the team wanted to contribute their subject-matter-expertise and influence to make the Kubernetes community prosper. Final Words: Takeaways From Spotify Use Case & the Road Ahead For Kubernetes With Kubernetes, not only the Spotify team was able to scale their topline operational metrics viz. lead time, deployment frequency, time to resolution, and operational load but were also able to get all the help to deploy the technology. The Kubernetes team was proactive in providing support and almost everybody was available to help the Spotify team with the technical know-how and expertise required while deploying a particular service. This served as a source of resurrection and motivation for the Spotify team to further scale-up their operational efficiency. The Spotify team leveraged several Kubernetes APIs and other extendable functionalities to aid and interface with their legacy infrastructure. The integrations were hassle-free and easy for the Spotify team. Because of saving so much time with Kubernetes, the Spotify team was able to experiment with solutions such as gRPC and Envoy. Kubernetes is becoming a go-to solution for companies with large development teams and complex IT needs. That's because software developers can use Kubernetes to automate the process of building and managing complex IT infrastructure. Kubernetes is already seeing adoption across many different industries and it will continue to grow as more governments and organizations come around to the benefits of its agility and automated operations. There are several other use cases that narrate the success story of Kubernetes across all industry verticals including media, publishing, audio streaming, and podcasting. These stories demonstrate the amazing possibilities that unfold when a team has the right API and enough time.

Why Spotify Migrated From Its Homegrown Orchestration Tool (Helios) to Kubernetes?

Homegrown master-master replication for a NoSQL database

Artificial intelligence (AI) is quickly transforming industries. In line with this, the need for strong AI security has grown more critical than ever. Aporia, a provider of AI guardrails and observability solutions, has launched its "Securing AI Sucks” campaign to address this urgent issue. What is Aporia? Aporia, founded in 2019, has quickly become a trusted partner for Fortune 500 companies and leading AI teams worldwide. The company specializes in advanced AI guardrails and observability solutions for all AI workloads, revamping AI model security and monitoring. Organizations can easily add Aporia's modern guardrails within minutes and fully customize them to protect various AI applications from common issues such as hallucinations, prompt injection attacks, toxicity, and off-topic responses. Campaign Overview The "Securing AI Sucks" campaign by Aporia addresses a critical concern in the AI industry: the complexity and risks associated with securing AI systems. Through extensive research involving over 1,500 discussions among chief information security officers (CISOs) and security specialists, Aporia has identified a common theme: securing AI systems is complex and involves risks. The campaign demonstrates the dangers of ignoring AI security. As AI systems become more common and often handle sensitive information, they become prime targets for data breaches, adversarial attacks, and unauthorized access. The consequences of poor security can be severe, ranging from loss of customer trust and legal penalties to potential harm to users. Key Features of the Campaign Aporia's campaign focuses on several crucial aspects of AI security: 88% of CISOs are concerned about the unpredictability of AI systems, making it challenging to implement good security measures. Around 78% of security professionals disagree or strongly disagree that conventional security tools are sufficient for addressing AI-specific vulnerabilities. Meanwhile, 85% of CISOs face substantial challenges when adding security measures to their existing AI systems, and 80% of security professionals find identifying and monitoring AI applications challenging or extremely challenging. The campaign also introduces the concept of AI Guardrails as a solution to these challenges. Positioned between homegrown AI agents, users, and third-party AI tools, these guardrails act as a much-needed security layer, instantly reviewing every message and interaction to establish compliance with established rules. Real-life Examples of AI Security Failures The campaign presents several real-world scenarios to show the importance of AI security. For instance, a company's AI assistant unintentionally shared confidential financial projections, leading to significant losses and reputational damage. To solve this, the solution involves confidential data access control. Instead of responding with the projected revenue and profit, the AI’s answer would be blocked and rephrased by the Guardrails, replying, “I am sorry, but I cannot provide this information. Please use this system responsibly.” Another example, SecureCorp, showed an employee who faced challenges while writing a complex client proposal. The individual used an external generative AI service to save time, inputting sensitive client information to generate content. The external AI service stored the data, which later appeared in publicly available outputs, exposing confidential client details. The solution is implementing AI guardrails that detect when an employee attempts to input sensitive information into external AI services. The system’s response would be rephrased by the Guardrails to say: "Warning: Uploading sensitive data to external services is prohibited. Please use approved internal tools for handling confidential information." Impact and Results Aporia's thorough strategy for solving security challenges will resonate with organizations struggling with these issues. Offering AI Guardrails as a solution, Aporia positions itself as a thought leader in the AI security space. Undeniably, Aporia's "Securing AI Sucks" campaign brings to light the challenges in AI security while offering new solutions. As AI continues to change and integrate into various aspects of business and society, the importance of strong security measures cannot be overstated. Aporia's campaign raises awareness about these issues and presents a way forward for organizations looking to secure AI systems well. This article is published under HackerNoon’s Business Blogging program. Learn more about the program here. Artificial intelligence (AI) is quickly transforming industries. In line with this, the need for strong AI security has grown more critical than ever. Aporia, a provider of AI guardrails and observability solutions, has launched its " Securing AI Sucks ” campaign to address this urgent issue. Securing AI Sucks Securing AI Sucks What is Aporia? What is Aporia? Aporia, founded in 2019, has quickly become a trusted partner for Fortune 500 companies and leading AI teams worldwide. The company specializes in advanced AI guardrails and observability solutions for all AI workloads, revamping AI model security and monitoring. Organizations can easily add Aporia's modern guardrails within minutes and fully customize them to protect various AI applications from common issues such as hallucinations, prompt injection attacks, toxicity, and off-topic responses. Campaign Overview Campaign Overview The "Securing AI Sucks" campaign by Aporia addresses a critical concern in the AI industry: the complexity and risks associated with securing AI systems. Through extensive research involving over 1,500 discussions among chief information security officers (CISOs) and security specialists, Aporia has identified a common theme: securing AI systems is complex and involves risks. The campaign demonstrates the dangers of ignoring AI security. As AI systems become more common and often handle sensitive information, they become prime targets for data breaches, adversarial attacks, and unauthorized access. The consequences of poor security can be severe, ranging from loss of customer trust and legal penalties to potential harm to users. Key Features of the Campaign Key Features of the Campaign Aporia's campaign focuses on several crucial aspects of AI security: 88% of CISOs are concerned about the unpredictability of AI systems, making it challenging to implement good security measures. Around 78% of security professionals disagree or strongly disagree that conventional security tools are sufficient for addressing AI-specific vulnerabilities. Meanwhile, 85% of CISOs face substantial challenges when adding security measures to their existing AI systems, and 80% of security professionals find identifying and monitoring AI applications challenging or extremely challenging. The campaign also introduces the concept of AI Guardrails as a solution to these challenges. Positioned between homegrown AI agents, users, and third-party AI tools, these guardrails act as a much-needed security layer, instantly reviewing every message and interaction to establish compliance with established rules. Real-life Examples of AI Security Failures Real-life Examples of AI Security Failures The campaign presents several real-world scenarios to show the importance of AI security. For instance, a company's AI assistant unintentionally shared confidential financial projections, leading to significant losses and reputational damage. To solve this, the solution involves confidential data access control. Instead of responding with the projected revenue and profit, the AI’s answer would be blocked and rephrased by the Guardrails, replying, “I am sorry, but I cannot provide this information. Please use this system responsibly.” “I am sorry, but I cannot provide this information. Please use this system responsibly.” Another example, SecureCorp, showed an employee who faced challenges while writing a complex client proposal. The individual used an external generative AI service to save time, inputting sensitive client information to generate content. The external AI service stored the data, which later appeared in publicly available outputs, exposing confidential client details. The solution is implementing AI guardrails that detect when an employee attempts to input sensitive information into external AI services. The system’s response would be rephrased by the Guardrails to say: "Warning: Uploading sensitive data to external services is prohibited. Please use approved internal tools for handling confidential information." "Warning: Uploading sensitive data to external services is prohibited. Please use approved internal tools for handling confidential information." Impact and Results Impact and Results Aporia's thorough strategy for solving security challenges will resonate with organizations struggling with these issues. Offering AI Guardrails as a solution, Aporia positions itself as a thought leader in the AI security space. Undeniably, Aporia's "Securing AI Sucks" campaign brings to light the challenges in AI security while offering new solutions. As AI continues to change and integrate into various aspects of business and society, the importance of strong security measures cannot be overstated. Aporia's campaign raises awareness about these issues and presents a way forward for organizations looking to secure AI systems well. This article is published under HackerNoon’s Business Blogging program. Learn more about the program here. This article is published under HackerNoon’s Business Blogging program. Learn more about the program here . here

Aporia Tackles AI Security Challenges with Bold 'Securing AI Sucks' Campaign

Aporia begegnet KI-Sicherheitsherausforderungen mit mutiger Kampagne „Securing AI Sucks“

Aporia aborda los desafíos de seguridad de la IA con la audaz campaña 'Securing AI Sucks'

Aporia s'attaque aux défis de la sécurité de l'IA avec la campagne audacieuse « Securing AI Sucks »

Aporia aborda os retos de seguridade da IA coa audaz campaña "Securing AI Sucks".

Aporia affronta le sfide della sicurezza dell'intelligenza artificiale con la coraggiosa campagna "Securing AI Sucks"

Aporia は大胆な「AI のセキュリティ確保は最悪」キャンペーンで AI セキュリティの課題に取り組む

Апориа хиймэл оюун ухааны аюулгүй байдлын сорилтуудыг "Хиймэл оюун ухааныг хамгаалах нь муу" кампанит ажлын хүрээнд шийдэв.

اپوریا د AI امنیتي ننګونو سره د زړور 'Securing AI Sucks' کمپاین سره مبارزه کوي

Aporia AI Seguridad sasachakuykunata atipan mana manchakuq ‘AI chupa’ campañawan

Aporia tar itu med AI-säkerhetsutmaningar med en djärv "Securing AI Sucks"-kampanj

அபோரியா தைரியமான 'செக்யூரிங் AI சக்ஸ்' பிரச்சாரத்துடன் AI பாதுகாப்பு சவால்களை சமாளிக்கிறது

Aporia 通过大胆的“保护人工智能很糟糕”活动应对人工智能安全挑战

Already the second-largest mobile operating system in China as of early 2024, Huawei launched the HarmonyOS 5.0 recently in mid-October 2024. With the global smartphone operating system market being __previously primarily dominated __by Apple’s iOS and Google’s Android, Huawei’s release of HarmonyOS challenges this duopoly. This marks a significant shift in the mainland Chinese and global technology landscape, highlighting increasing opportunities for the development of homegrown Chinese technologies. China’s Strategic Response to Trade Restrictions Huawei's decision to develop its own operating system, first released in 2017, has largely been driven by U.S. trade restrictions imposed on the company in 2019, among many others. These restrictions have limited Huawei’s access to services critical for Android devices, such as Google Mobile Services, hence the development of HarmonyOS. The subsequent development focus on HarmonyOS, accompanied by an aggressive go-to-market strategy, offers China a significant degree of technological independence while also reducing its reliance on U.S.-dominated platforms. This could provide a strategic advantage to Chinese firms, as it mitigates the risks associated with potential U.S.-led sanctions or digital supply chain disruptions imposed by the U.S. This follows a trend of other Chinese organizations, encouraged by the People’s Republic of China (PRC) government, in establishing exclusively homegrown and hosted services, including the Blockchain-based Service Network’s offerings of blockchain applications and the People’s Bank of China’s digital yuan. As a result, it is clear that there has been an explosion of homegrown Chinese technologies and services, represented by key infrastructure services such as HarmonyOS, the Blockchain Service Network, and the digital yuan. Additionally, when these technological elements are subsequently integrated with other emerging technologies such as 5G networks and artificial intelligence (AI), China's technological advancement will most certainly become accelerated, while simultaneously bolstering and potentially ensuring its digital sovereignty. Implications for Global Cooperation The emergence of HarmonyOS as a viable alternative to Western-developed operating systems could fragment the global digital market, forcing global companies to localize their services even more while also challenging local and regional companies' expansion capabilities beyond their market segments. In this respect, the growth in the adoption of HarmonyOS may also limit access to certain apps and services, particularly those developed primarily for Western platforms., Additionally, increased usage of HarmonyOS could further hinder international cooperation on topics such as cybersecurity and wireless technology standards, especially in light of different local, regional, and global regulatory frameworks and laws. This could make it difficult for internationally-driven standardization efforts to truly occur for the benefit of the consumer, instead potentially benefiting individual nation-states, organizations, and/or enterprises. The PRC has shown its far-reaching capabilities to wield global influence, already playing an active role in molding the global regulatory landscape for topics such as drones and AI through its influence in international organizations like the United Nations’ International Telecommunication Union (ITU) and in the International Organization for Standardization (ISO). By strategically placing Chinese nationals in key leadership positions and actively participating in standard-setting processes, among other means, the PRC’s motives clearly speak to its aims to promote its own technological advancements and potentially influence the future trajectory of these industries. The implementation of additional dominant software systems such as HarmonyOS, would either unwittingly and/or intentionally enable the PRC to align global regulations with its national interests and create a favorable environment for its domestic industries. Data Privacy and Surveillance Concerns Furthermore, the increased development, adoption, and focus on spreading HarmonyOS infrastructure in a mobile device manufacturer as popular as Huawei raises significant domestic and international concerns about data privacy and surveillance. For one, China's less stringent cybersecurity laws and regulations could allow the government easier access to user data. Additionally, government-mandated backdoors in operating systems like HarmonyOS could enable surveillance and data interception both locally and abroad. Data localization requirements may also force users to store data on Chinese servers, subjecting them to potential PRC seizure, but at the least, jurisdiction within China. This could have significant effects on companies with headquarters and subsidiaries within China, potentially enabling an unfair competitive advantage not only in government-based technologies but also at the corporate level. Lastly, there is also a potential for built-in surveillance features in HarmonyOS, with such techniques including enabling microphone and camera access without explicit user consent, a tactic that has been previously discovered in hardware with Chinese origins. Conclusion The long-term impact of HarmonyOS on strategic competition remains uncertain; however, it must be fully acknowledged that HarmonyOS represents a significant technological advancement for China. In light of these advancements, Chinese and global users should exercise caution, review app permissions, and stay informed about security updates in relation to HarmonyOS, especially due to potential Chinese government legislation enabling increased access to users' information by usurping existing privacy laws knowingly or unknowingly via HarmonyOS. Therefore, as the technological landscape continues to evolve, the interplay between geopolitical tensions and technological innovation will continue to shape the future of the digital age. Already the second-largest mobile operating system in China as of early 2024 , Huawei launched the HarmonyOS 5.0 recently in mid-October 2024 . With the global smartphone operating system market being __ previously primarily dominated __by Apple’s iOS and Google’s Android, Huawei’s release of HarmonyOS challenges this duopoly. This marks a significant shift in the mainland Chinese and global technology landscape, highlighting increasing opportunities for the development of homegrown Chinese technologies. early 2024 early 2024 mid-October 2024 mid-October 2024 previously primarily dominated China’s Strategic Response to Trade Restrictions China’s Strategic Response to Trade Restrictions Huawei's decision to develop its own operating system, first released in 2017 , has largely been driven by U.S. trade restrictions imposed on the company in 2019 , among many others. These restrictions have limited Huawei’s access to services critical for Android devices, such as Google Mobile Services, hence the development of HarmonyOS. first released in 2017 first released in 2017 2019 2019 The subsequent development focus on HarmonyOS, accompanied by an aggressive go-to-market strategy, offers China a significant degree of technological independence while also reducing its reliance on U.S.-dominated platforms. This could provide a strategic advantage to Chinese firms, as it mitigates the risks associated with potential U.S.-led sanctions or digital supply chain disruptions imposed by the U.S. This follows a trend of other Chinese organizations, encouraged by the People’s Republic of China (PRC) government, in establishing exclusively homegrown and hosted services, including the Blockchain-based Service Network’s offerings of blockchain applications and the People’s Bank of China’s digital yuan . blockchain applications blockchain applications digital yuan digital yuan As a result, it is clear that there has been an explosion of homegrown Chinese technologies and services, represented by key infrastructure services such as HarmonyOS, the Blockchain Service Network, and the digital yuan. Additionally, when these technological elements are subsequently integrated with other emerging technologies such as 5G networks and artificial intelligence (AI), China's technological advancement will most certainly become accelerated, while simultaneously bolstering and potentially ensuring its digital sovereignty. Implications for Global Cooperation Implications for Global Cooperation The emergence of HarmonyOS as a viable alternative to Western-developed operating systems could fragment the global digital market, forcing global companies to localize their services even more while also challenging local and regional companies' expansion capabilities beyond their market segments. In this respect, the growth in the adoption of HarmonyOS may also limit access to certain apps and services, particularly those developed primarily for Western platforms., Additionally, increased usage of HarmonyOS could further hinder international cooperation on topics such as cybersecurity and wireless technology standards, especially in light of different local, regional, and global regulatory frameworks and laws. This could make it difficult for internationally-driven standardization efforts to truly occur for the benefit of the consumer, instead potentially benefiting individual nation-states, organizations, and/or enterprises. The PRC has shown its far-reaching capabilities to wield global influence, already playing an active role in molding the global regulatory landscape for topics such as drones and AI through its influence in international organizations like the United Nations’ International Telecommunication Union (ITU) and in the International Organization for Standardization (ISO). By strategically placing Chinese nationals in key leadership positions and actively participating in standard-setting processes , among other means, the PRC’s motives clearly speak to its aims to promote its own technological advancements and potentially influence the future trajectory of these industries. key leadership positions key leadership positions standard-setting processes standard-setting processes The implementation of additional dominant software systems such as HarmonyOS, would either unwittingly and/or intentionally enable the PRC to align global regulations with its national interests and create a favorable environment for its domestic industries. Data Privacy and Surveillance Concerns Data Privacy and Surveillance Concerns Furthermore, the increased development, adoption, and focus on spreading HarmonyOS infrastructure in a mobile device manufacturer as popular as Huawei raises significant domestic and international concerns about data privacy and surveillance. For one, China's less stringent cybersecurity laws and regulations could allow the government easier access to user data. Additionally, government-mandated backdoors in operating systems like HarmonyOS could enable surveillance and data interception both locally and abroad. Data localization requirements may also force users to store data on Chinese servers, subjecting them to potential PRC seizure, but at the least, jurisdiction within China. This could have significant effects on companies with headquarters and subsidiaries within China, potentially enabling an unfair competitive advantage not only in government-based technologies but also at the corporate level. Data localization requirements Data localization requirements Lastly, there is also a potential for built-in surveillance features in HarmonyOS, with such techniques including enabling microphone and camera access without explicit user consent, a tactic that has been previously discovered in hardware with Chinese origins. previously discovered previously discovered Conclusion The long-term impact of HarmonyOS on strategic competition remains uncertain; however, it must be fully acknowledged that HarmonyOS represents a significant technological advancement for China. In light of these advancements, Chinese and global users should exercise caution, review app permissions, and stay informed about security updates in relation to HarmonyOS, especially due to potential Chinese government legislation enabling increased access to users' information by usurping existing privacy laws knowingly or unknowingly via HarmonyOS. Therefore, as the technological landscape continues to evolve, the interplay between geopolitical tensions and technological innovation will continue to shape the future of the digital age.

Huawei’s HarmonyOS: Navigating the Landscape of China’s Desire for Digital Sovereignty

Can India Secure a Strong Position in the Global Semiconductor Market?

One of the most important tasks of an Engineering Manager is to enable others to do bigger, better things. The usual analogy which often gets used is to think of yourself as a multiplier. Imagine having 5 developers in your team. If all of them do 1 unit of work a day and you do nothing to help them, as a team, you will get 5 units of work done at the end of the day. However if you find a way for them to do their work twice as more efficient, you would become a multiplier to all of your engineers and therefore allowing them to achieve 2 × 5 = 10 units of work. The higher the multiplier you are, the more you’ll be able to achieve with your team. In this article, we will recommend a homegrown method which we have devised (by simply combining various concepts that we have collected along the way) to help one understand the best way to amplify this multiplier. The method consists of 4 steps: See
Observe
Prioritize
Act Let’s look into these components to better understand how it can be applied. See It is important for one to understand where you stand in the grand scheme of things. This helps you in knowing what your sphere of influence is which will help you prioritize which problems to tackle first vs those which require more effort to do so. The exercise is quite simple. It will feel very familiar when you see it although it also has a small twist. In this tree, Dunya is in the center. She has 1 direct report and her peer (Michael) has two direct reports. Both Dunya and Michael report to Allan whom himself manages 3 other engineering managers. Those managers manage many other Individual Contributors (IC). We use a color code to express the degree at which you can exercise influence. Those people to whom you have a single line to are L1. Those people are the ones you can influence the most. Afterall it is easier to talk to your peers for help or your team members than it is to ask the CEO of the company. Those people who are two lines away from you are L2. It is also possible to influence them however it would require more effort to do so. In the above example, Dunya would be able to influence Ivan however that would require more work since there is no way for her to enforce what she would like to see differently. She would have to convince Ivan (using persuasion, data, or similar) to be able to influence him do what she would like. Similarly, those who are three lines away are a L3. L3 is still influenceable however it would require significantly more work than it would take to convince L2. In my humble opinion it is not worth spending a lot of effort on these levels as the return on investment would be lowered significantly. So far, what we have seen is no different than an organizational chart. The only difference is the circle marked project. Quite often, people in companies interact with each other through projects instead of reporting lines. There will be many projects, migrations, crafts, workforces, etc. where people from different teams will be collaborating on. We represent such initiatives using the ellipse (in the above graph) where we connect different members through that bubble. This allows us to see what the sphere of influence of an individual is across teams. In the above example we can see that Bruno is a L2 to Dunya since they cooperate on the same project. So again, we’re just counting the number of lines connecting the two. This way of thinking also helps us understand the effect someone has had on their peers. Think Performance, where someone who has managed to move metrics for their L1, L2 and L3 has apparently had a great impact on a larger sphere. Someone who has only managed to help their L3 might be focused on the wrong things (since they’re actually not helping their own team but rather helping others). And someone who has only affected their L1 might still be a mid level engineer and would have to increase their sphere of influence to have greater impact. Observe Now that we understand where we are positioned in the organization and how are interactions look like, it is time to collect data and try to understand the pain-points that could leverage your expertise. Collect Whenever I join a new company or when I switch teams, I always start by doing 1:1s with everyone in the team (not only engineers) where I ask them a single question: What are the things that annoy you the most or that slow you down? This question allows me to understand the biggest challenges that the team is facing, which for sure is important for me to address as an Engineering Manager. Doing so will help me resolve those issues so that I can multiply my team's output. Once I’ve collected all the issues I put them in a database. There will be many issues which you’ll be hearing again and again from different engineers and that’s OK. Then we add three columns to this database called category, reporter and level. The category column helps us start grouping the issues under logical categories. An issue can fall under multiple categories. Once all issues have been categorized, we can sort the categories based on the number of times we’ve heard issues in that category. The Level column shows us from which level of sphere of influence we have heard this problem from. The reporter column helps us remember who gave us the issue. This gives us a basic understanding of the frequency of issues, and the level which they come from. Understand The next step in Observe is to write down the categories and start doing a Root Cause Analysis (RCA) on each and every one of them. You can use any method to help do the RCA however I would strongly recommend to use something simple such as the 5 Whys. The idea with the 5 Whys is to ask “Why” 5 times (rather as many times as needed to find the root cause) to understand what the root cause of an issue might be. It would be better if you do this exercise with those people from your database. Luckily we kept this in our reporter column. Having done this exercise you should obtain something that resembles this: This map will allow us to see the root causes of some of the issues. Those would be the leaves of the tree which are marked red. It will also sometimes help uncover dependencies across different root causes. Not only will this visualization help us understand the issues, their root causes but it will also help us understand the interactions between the issues. In the above example we can see that the “Excessive Use of Integration or End-to-End Tests” are affecting two different branches of the tree. Meaning that, removing this root cause will remedy quite some symptoms. Prioritize Now that we have understood our sphere of influence and that we’ve collected several root causes, we can get started with picking the problems to work on. In order to do so we will be plotting all of the root cause on the well known, Impact vs Effort matrix. Which would look like this: This will help us understand what to prioritize. We also should not forget to use color coding we had in the See exercise, we would basically be enriching the matrix with a 3rd dimension. Looking at the resulting matrix, one could conclude to start with the two leftmost tickets since they are very low effort, have some impact but also do affect a mid-level sphere of influence instead of starting with the rightmost one. Act At this point in time, we know what we can do to help our engineers. We also know how, solving those issue would impact the company. Lastly, we also get a clear understanding of who will be impacting by such an improvement. Now that all pieces are in place, there is only one thing left to do: Act! One of the most important tasks of an Engineering Manager is to enable others to do bigger, better things. Engineering Manager The usual analogy which often gets used is to think of yourself as a multiplier . Imagine having 5 developers in your team. If all of them do 1 unit of work a day and you do nothing to help them, as a team, you will get 5 units of work done at the end of the day. multiplier However if you find a way for them to do their work twice as more efficient, you would become a multiplier to all of your engineers and therefore allowing them to achieve 2 × 5 = 10 units of work. The higher the multiplier you are, the more you’ll be able to achieve with your team. In this article, we will recommend a homegrown method which we have devised (by simply combining various concepts that we have collected along the way) to help one understand the best way to amplify this multiplier. The method consists of 4 steps: See Observe Prioritize Act See See Observe Observe Prioritize Prioritize Act Act Let’s look into these components to better understand how it can be applied. See It is important for one to understand where you stand in the grand scheme of things. This helps you in knowing what your sphere of influence is which will help you prioritize which problems to tackle first vs those which require more effort to do so. The exercise is quite simple. It will feel very familiar when you see it although it also has a small twist. In this tree, Dunya is in the center. She has 1 direct report and her peer ( Michael ) has two direct reports. Both Dunya and Michael report to Allan whom himself manages 3 other engineering managers. Those managers manage many other Individual Contributors ( IC ). Dunya Michael Dunya Michael Allan Individual Contributors IC We use a color code to express the degree at which you can exercise influence. Those people to whom you have a single line to are L1 . Those people are the ones you can influence the most. Afterall it is easier to talk to your peers for help or your team members than it is to ask the CEO of the company. L1 Those people who are two lines away from you are L2 . It is also possible to influence them however it would require more effort to do so. In the above example, Dunya would be able to influence Ivan however that would require more work since there is no way for her to enforce what she would like to see differently. She would have to convince Ivan (using persuasion, data, or similar) to be able to influence him do what she would like. L2 Dunya Ivan Ivan Similarly, those who are three lines away are a L3 . L3 is still influenceable however it would require significantly more work than it would take to convince L2 . In my humble opinion it is not worth spending a lot of effort on these levels as the return on investment would be lowered significantly. L3 L3 L2 So far, what we have seen is no different than an organizational chart . The only difference is the circle marked project. Quite often, people in companies interact with each other through projects instead of reporting lines. There will be many projects, migrations, crafts, workforces, etc. where people from different teams will be collaborating on. We represent such initiatives using the ellipse (in the above graph) where we connect different members through that bubble. This allows us to see what the sphere of influence of an individual is across teams. In the above example we can see that Bruno is a L2 to Dunya since they cooperate on the same project. So again, we’re just counting the number of lines connecting the two. organizational chart organizational chart Bruno L2 Dunya This way of thinking also helps us understand the effect someone has had on their peers. Think Performance, where someone who has managed to move metrics for their L1 , L2 and L3 has apparently had a great impact on a larger sphere. Someone who has only managed to help their L3 might be focused on the wrong things (since they’re actually not helping their own team but rather helping others). And someone who has only affected their L1 might still be a mid level engineer and would have to increase their sphere of influence to have greater impact. L1 L2 L3 L3 L1 Observe Now that we understand where we are positioned in the organization and how are interactions look like, it is time to collect data and try to understand the pain-points that could leverage your expertise. collect understand Collect Whenever I join a new company or when I switch teams, I always start by doing 1:1s with everyone in the team (not only engineers) where I ask them a single question: What are the things that annoy you the most or that slow you down? What are the things that annoy you the most or that slow you down? This question allows me to understand the biggest challenges that the team is facing, which for sure is important for me to address as an Engineering Manager. Doing so will help me resolve those issues so that I can multiply my team's output. Once I’ve collected all the issues I put them in a database . There will be many issues which you’ll be hearing again and again from different engineers and that’s OK. Then we add three columns to this database called category , reporter and level . The category column helps us start grouping the issues under logical categories. An issue can fall under multiple categories. Once all issues have been categorized, we can sort the categories based on the number of times we’ve heard issues in that category. The Level column shows us from which level of sphere of influence we have heard this problem from. The reporter column helps us remember who gave us the issue. database category reporter level This gives us a basic understanding of the frequency of issues, and the level which they come from. Understand The next step in Observe is to write down the categories and start doing a Root Cause Analysis ( RCA ) on each and every one of them. You can use any method to help do the RCA however I would strongly recommend to use something simple such as the 5 Whys. The idea with the 5 Whys is to ask “Why” 5 times (rather as many times as needed to find the root cause) to understand what the root cause of an issue might be. It would be better if you do this exercise with those people from your database. Luckily we kept this in our reporter column. Observe Root Cause Analysis Root Cause Analysis RCA RCA reporter Having done this exercise you should obtain something that resembles this: This map will allow us to see the root causes of some of the issues. Those would be the leaves of the tree which are marked red. It will also sometimes help uncover dependencies across different root causes. Not only will this visualization help us understand the issues, their root causes but it will also help us understand the interactions between the issues. In the above example we can see that the “ Excessive Use of Integration or End-to-End Tests ” are affecting two different branches of the tree. Meaning that, removing this root cause will remedy quite some symptoms. Excessive Use of Integration or End-to-End Tests Prioritize Now that we have understood our sphere of influence and that we’ve collected several root causes, we can get started with picking the problems to work on. In order to do so we will be plotting all of the root cause on the well known, Impact vs Effort matrix. Which would look like this: Impact vs Effort Impact vs Effort This will help us understand what to prioritize. We also should not forget to use color coding we had in the See exercise, we would basically be enriching the matrix with a 3rd dimension. See Looking at the resulting matrix, one could conclude to start with the two leftmost tickets since they are very low effort, have some impact but also do affect a mid-level sphere of influence instead of starting with the rightmost one. start with the two leftmost tickets Act At this point in time, we know what we can do to help our engineers. We also know how , solving those issue would impact the company. Lastly, we also get a clear understanding of who will be impacting by such an improvement. what how who Now that all pieces are in place, there is only one thing left to do: Act ! Act

From Manager to Multiplier: Elevate Your Team With SOPA

ম্যানেজার থেকে গুণক পর্যন্ত: SOPA দিয়ে আপনার দলকে উন্নত করুন

Od menadžera do multiplikatora: Podignite svoj tim uz SOPA

Vom Manager zum Multiplikator: Bringen Sie Ihr Team mit SOPA auf die nächste Stufe

De gerente a multiplicador: eleve a su equipo con SOPA

Soti nan Manadjè a miltiplikatè: Elve ekip ou a ak SOPA

マネージャーからマルチプライヤーへ: SOPA でチームをレベルアップ

Kobanda na Mokambi kino na Multiplicateur: Tombola Equipe Na Yo Na SOPA

ຈາກຜູ້ຈັດການໄປຫາຕົວຄູນ: ຍົກທີມຂອງເຈົ້າດ້ວຍ SOPA

Nuo vadovo iki daugiklio: padidinkite savo komandą naudodami SOPA

Од менаџер до мултипликатор: Подигнете го вашиот тим со SOPA

Аз менеҷер то мултипликатор: Дастаи худро бо SOPA баланд бардоред

ካብ ኣካያዲ ናብ መባዛሒ: ጋንታኻ ብሶፓ ኣዕብያ

Perhaps best known globally for sunny vacations, folkloric Flamenco, and savory Paella, Spain is also home to one of the fastest-growing technology ecosystems in Europe. According to data from Dealroom, last year, Spanish startups were collectively worth around €100 billion (USD 111 billion), outpacing countries like Norway and Denmark, but still well behind more established ecosystems like the United Kingdom, Germany, and The Netherlands. The country ranked seventh in Europe in terms of attracting venture capital and had the fourth-highest number of funding rounds, according to the report which was made in collaboration with BBVA. While cities like Madrid and Barcelona lead the country for development on Startup Genome’s Global Ecosystems report, other cities like Valencia are also playing a big role in transforming Spain into an innovation hub on the continent. Valencia, a startup hub Valencia, Europe’s fifth busiest port city, is located in Eastern Spain on the Mediterranean Sea. It’s the third most populated municipality in the country and in addition to being one of Spain’s most important cities for export and logistics, it also houses a strong manufacturing sector and is a tourism hotspot. The city’s blend of old-world architecture (it was believed to be founded in 138 B.C.) with the futuristic buildings of one of its most famous children, renowned architect Santiago Calatrava, make for an aesthetic ripe for technological innovation. And founders are taking note. According to Startup Genome data, the city’s estimated startup ecosystem value – which measures exits and startup valuations – is over USD 5 billion, and the city saw 12 exits in 2022 and five in 2023. Particularly strong are startups innovating in AI. According to data from Startup Valencia, a non-profit dedicated to promoting startups in the city, over 20% of Valencian startups are powered by AI. What’s more, nearly 35% of startup companies in the city count at least one female co-founder, and 81% of startups surveyed say they align with the United Nations Sustainable Development Goals (SDGs). Overall, the non-profit reported that the city’s startup sector is growing at a rate of 16%. One big initiative from Startup Valencia that is helping to fuel that growth is their annual technology conference, VDS (formerly Valencia Digital Summit). The two-day gathering, which will host its seventh edition on October 23 and 24 under the theme “Embracing Evolution: Invest in the Leaders of Tomorrow,” convenes some of the world’s leading technology thought leaders to southern Europe. According to a company statement, the event is expected to bring together over 2,500 startups, and over 12,000 attendees from more than 100 countries. Also in attendance will be 700 investors, including representatives from global funds like Softbank and Techstars. Startups will also have a chance to pitch to investors on the demo stage, and featured speakers include Steve Chen, co-founder and former Chief Technology Officer of YouTube, Randi Zuckerberg, founder and CEO of Zuckerberg Media and HUG, Juan Antonio Samaranch, Vice President of the International Olympic Committee, among many others. Other initiatives too are driving the startup ecosystem forward in Valencia. Recently, Startup Valencia announced a partnership with the German research institute The Center for Digital Technology and Management, which aims to help the center scale in Spain and help foment local entrepreneurship. Also, Invest in Valencia, which promotes foreign investment into the city, is creating initiatives to promote Valencia’s 5G, cybersecurity and innovation sectors. Spain’s nation-wide support of startups On a national level, Spain has been taking steps in recent years to help foster startups and the tech sector. In December of 2022, the country passed its Startups Law, which aimed to cut some bureaucratic processes for starting companies, as well as tax incentives for startups and investors, as well as lower barriers for foreigners to enter the country to start a business or work with a startup. Earlier this year, the government announced the creation of a National Entrepreneurship Office (ONE), which focuses principally on prompting startups. The platform offers information for founders who want to recruit international talent, provides spaces for networking and startup events, information on grants and accelerators, and other information relevant to entrepreneurs. And in May, the government approved its AI strategy, which will deploy a total of €2.1 billion to help shore up the country’s AI sector. The strategy includes more funding for homegrown supercomputing, a structure for building a sustainable network of data centers to power AI, as well as investments and loan opportunities for companies innovating in AI. Taken together, the push from Spain as a whole, but also from Valencia as a startup hub, aims to help propel the country to be a leader in tech in southern Europe in the years to come. At least, that is the hope. The Sociable Perhaps best known globally for sunny vacations, folkloric Flamenco, and savory Paella, Spain is also home to one of the fastest-growing technology ecosystems in Europe. According to data from Dealroom, last year, Spanish startups were collectively worth around €100 billion (USD 111 billion), outpacing countries like Norway and Denmark, but still well behind more established ecosystems like the United Kingdom, Germany, and The Netherlands. data The country ranked seventh in Europe in terms of attracting venture capital and had the fourth-highest number of funding rounds, according to the report which was made in collaboration with BBVA. according While cities like Madrid and Barcelona lead the country for development on Startup Genome’s Global Ecosystems report , other cities like Valencia are also playing a big role in transforming Spain into an innovation hub on the continent. report Valencia, a startup hub Valencia, a startup hub Valencia, Europe’s fifth busiest port city, is located in Eastern Spain on the Mediterranean Sea. It’s the third most populated municipality in the country and in addition to being one of Spain’s most important cities for export and logistics, it also houses a strong manufacturing sector and is a tourism hotspot. The city’s blend of old-world architecture (it was believed to be founded in 138 B.C.) with the futuristic buildings of one of its most famous children, renowned architect Santiago Calatrava, make for an aesthetic ripe for technological innovation. And founders are taking note. According to Startup Genome data , the city’s estimated startup ecosystem value – which measures exits and startup valuations – is over USD 5 billion, and the city saw 12 exits in 2022 and five in 2023. data Particularly strong are startups innovating in AI. According to data from Startup Valencia, a non-profit dedicated to promoting startups in the city, over 20% of Valencian startups are powered by AI. data What’s more, nearly 35% of startup companies in the city count at least one female co-founder, and 81% of startups surveyed say they align with the United Nations Sustainable Development Goals (SDGs). Overall, the non-profit reported that the city’s startup sector is growing at a rate of 16%. One big initiative from Startup Valencia that is helping to fuel that growth is their annual technology conference, VDS (formerly Valencia Digital Summit). The two-day gathering, which will host its seventh edition on October 23 and 24 under the theme “Embracing Evolution: Invest in the Leaders of Tomorrow,” convenes some of the world’s leading technology thought leaders to southern Europe. VDS According to a company statement, the event is expected to bring together over 2,500 startups, and over 12,000 attendees from more than 100 countries. Also in attendance will be 700 investors, including representatives from global funds like Softbank and Techstars. Startups will also have a chance to pitch to investors on the demo stage, and featured speakers include Steve Chen , co-founder and former Chief Technology Officer of YouTube, Randi Zuckerberg , founder and CEO of Zuckerberg Media and HUG, Juan Antonio Samaranch , Vice President of the International Olympic Committee, among many others. Steve Chen Randi Zuckerberg Juan Antonio Samaranch Other initiatives too are driving the startup ecosystem forward in Valencia. Recently, Startup Valencia announced a partnership with the German research institute The Center for Digital Technology and Management, which aims to help the center scale in Spain and help foment local entrepreneurship. Also, Invest in Valencia , which promotes foreign investment into the city, is creating initiatives to promote Valencia’s 5G, cybersecurity and innovation sectors. announced Invest in Valencia Spain’s nation-wide support of startups Spain’s nation-wide support of startups On a national level, Spain has been taking steps in recent years to help foster startups and the tech sector. In December of 2022, the country passed its Startups Law, which aimed to cut some bureaucratic processes for starting companies, as well as tax incentives for startups and investors, as well as lower barriers for foreigners to enter the country to start a business or work with a startup. passed Earlier this year, the government announced the creation of a National Entrepreneurship Office (ONE), which focuses principally on prompting startups. The platform offers information for founders who want to recruit international talent, provides spaces for networking and startup events, information on grants and accelerators, and other information relevant to entrepreneurs. announced And in May, the government approved its AI strategy, which will deploy a total of €2.1 billion to help shore up the country’s AI sector. The strategy includes more funding for homegrown supercomputing, a structure for building a sustainable network of data centers to power AI, as well as investments and loan opportunities for companies innovating in AI. Taken together, the push from Spain as a whole, but also from Valencia as a startup hub, aims to help propel the country to be a leader in tech in southern Europe in the years to come. At least, that is the hope. The Sociable The Sociable The Sociable

Valencia’s Ambitious Plans to Become Southern Europe’s Next Startup Hub

The IISc Memristor: The Dawn of a New Era in Computing and AI Accelerators

An Architect's Guide to Machine Learning Operations and Required Data Infrastructure

Mä Arquitecto ukan Guía de Operaciones de Aprendizaje Máquina ukat Infraestructura de Datos Requeridos ukanakataki

মেশিন লার্নিং অপারেশন এবং প্রয়োজনীয় ডেটা অবকাঠামোর জন্য একজন স্থপতির গাইড

Guía para arquitectos sobre operaciones de aprendizaje automático e infraestructura de datos necesaria

Vodič za arhitekte za operacije strojnog učenja i potrebnu podatkovnu infrastrukturu

Una guida per architetti alle operazioni di apprendimento automatico e all'infrastruttura dati richiesta

機械学習の運用と必要なデータインフラストラクチャに関するアーキテクト向けガイド

არქიტექტორის გზამკვლევი მანქანათმცოდნეობის ოპერაციებისა და საჭირო მონაცემთა ინფრასტრუქტურისთვის

Машиналық оқыту операциялары және қажетті деректер инфрақұрылымы бойынша сәулетші нұсқаулығы

Mašininio mokymosi operacijų ir būtinos duomenų infrastruktūros architekto vadovas

Torolàlana ho an'ny Architect ho an'ny fiasan'ny fianarana milina sy fotodrafitrasa angon-drakitra ilaina

Panduan Arkitek untuk Operasi Pembelajaran Mesin dan Infrastruktur Data yang Diperlukan

Një udhëzues arkitekti për operacionet e mësimit të makinerisë dhe infrastrukturën e kërkuar të të dhënave

Brazil’s government has unveiled a comprehensive plan to develop fully homegrown artificial intelligence (AI) models for use across various sectors of public administration. The initiative aims to secure technological autonomy, boost the competitiveness of the Brazilian economy, and promote the responsible use of AI. The project calls for an investment of R$ 23 billion (USD $4 billion) by 2028, with the majority of the funding provided by the state. A key component of this initiative is the upgrade of the Santos Dumont supercomputer, operated by the National Laboratory for Scientific Computing (LNCC) in Petrópolis, Rio de Janeiro. Once upgraded, the machine is expected to rank among the top five in the world in processing capacity, supporting a wide range of research needs. Titled the “Brazilian Artificial Intelligence Plan” (PBIA), the program is structured in two phases of operation. The first phase will implement 54 immediate impact actions, integrating AI into public services modernization across sectors such as healthcare, education, agriculture, defense, and environmental protection. During the launch ceremony on July 30 in Brasília, President Luiz Inácio Lula da Silva emphasized Brazil’s independence in the field. “Why can’t a country with 200 million people, a nation 524 years old with a globally respected intellectual foundation, create its own mechanisms instead of relying on AI from China, the United States, South Korea, or Japan? Why can’t we have our own?” Lula asked rhetorically. In healthcare, the plan includes the deployment of autonomous disinfection robots in hospitals, development of platforms to enhance diagnostic accuracy and speed, use of AI to manage teleconsultations and update digital medical records, and optimization of medication procurement. In agriculture, the initiative aims to provide farmers and ranchers with significant technological assistance. This includes more accurate climatic and meteorological data, AI tools with computer vision for livestock monitoring to reduce animal stress, and chatbot services to answer farmers’ questions, among other innovations. For environmental protection, the government intends to use AI to predict extreme weather events and prevent natural disasters, safeguard the Amazon, and map the biomes’ tree locations for better species monitoring. The second phase of the plan focuses on long-term structural actions, such as upgrading the Santos Dumont supercomputer, developing high-performance AI processors domestically, establishing infrastructure, training and qualification of professionals and creating a national network of AI excellence centers to promote research across the country. A significant concern is ensuring a sustainable and renewable energy supply for this technological advancement. According to the International Energy Agency (IEA), in 2022, Brazil’s data centers consumed 460 terawatt-hours (TWh) of energy, a figure that could reach 1,050 TWh globally by 2026 due to the increasing demands of AI technologies. This would be twice the total energy consumption of Brazil in a year. In response, the PBIA aims to expand the country’s renewable energy matrix, including hydropower. Over the next four years, 42 projects will seek solutions to support AI advancements, with a budget allocation of 500 million reais (USD $88 million). Thiago Alves, Reporter, Brazil Reports Brazil’s government has unveiled a comprehensive plan to develop fully homegrown artificial intelligence (AI) models for use across various sectors of public administration. The initiative aims to secure technological autonomy, boost the competitiveness of the Brazilian economy, and promote the responsible use of AI. The project calls for an investment of R$ 23 billion (USD $4 billion) by 2028, with the majority of the funding provided by the state. A key component of this initiative is the upgrade of the Santos Dumont supercomputer , operated by the National Laboratory for Scientific Computing (LNCC) in Petrópolis, Rio de Janeiro. Once upgraded, the machine is expected to rank among the top five in the world in processing capacity, supporting a wide range of research needs. R$ 23 billion supercomputer Titled the “Brazilian Artificial Intelligence Plan” (PBIA), the program is structured in two phases of operation. The first phase will implement 54 immediate impact actions, integrating AI into public services modernization across sectors such as healthcare, education, agriculture, defense, and environmental protection. program 54 During the launch ceremony on July 30 in Brasília, President Luiz Inácio Lula da Silva emphasized Brazil’s independence in the field. “Why can’t a country with 200 million people, a nation 524 years old with a globally respected intellectual foundation, create its own mechanisms instead of relying on AI from China, the United States, South Korea, or Japan? Why can’t we have our own?” Lula asked rhetorically. asked In healthcare, the plan includes the deployment of autonomous disinfection robots in hospitals, development of platforms to enhance diagnostic accuracy and speed, use of AI to manage teleconsultations and update digital medical records, and optimization of medication procurement. robots AI In agriculture, the initiative aims to provide farmers and ranchers with significant technological assistance. This includes more accurate climatic and meteorological data, AI tools with computer vision for livestock monitoring to reduce animal stress, and chatbot services to answer farmers’ questions, among other innovations. For environmental protection, the government intends to use AI to predict extreme weather events and prevent natural disasters, safeguard the Amazon, and map the biomes’ tree locations for better species monitoring. The second phase of the plan focuses on long-term structural actions, such as upgrading the Santos Dumont supercomputer, developing high-performance AI processors domestically, establishing infrastructure, training and qualification of professionals and creating a national network of AI excellence centers to promote research across the country. structural A significant concern is ensuring a sustainable and renewable energy supply for this technological advancement. According to the International Energy Agency (IEA), in 2022, Brazil’s data centers consumed 460 terawatt-hours (TWh) of energy, a figure that could reach 1,050 TWh globally by 2026 due to the increasing demands of AI technologies. This would be twice the total energy consumption of Brazil in a year. 460 terawatt-hours In response, the PBIA aims to expand the country’s renewable energy matrix, including hydropower. Over the next four years, 42 projects will seek solutions to support AI advancements, with a budget allocation of 500 million reais (USD $88 million). Thiago Alves, Reporter, Brazil Reports Thiago Alves, Reporter, Brazil Reports Thiago Alves , Reporter, Brazil Reports Thiago Alves

Brazil Commits $4 Billion to Boost Domestic AI in Public Services and Research

ብራዚል የሀገር ውስጥ AIን በሕዝብ አገልግሎቶች እና ምርምር ለማሳደግ 4 ቢሊዮን ዶላር ሰጠች።

Brazílie se zavázala 4 miliardy dolarů na posílení domácí umělé inteligence ve veřejných službách a výzkumu

Brasil destina 4.000 millones de dólares para impulsar la inteligencia artificial en los servicios públicos y la investigación

برزیل 4 میلیارد دلار برای تقویت هوش مصنوعی داخلی در خدمات عمومی و تحقیقات اختصاص داده است

Բրազիլիան 4 միլիարդ դոլար է հատկացնում հանրային ծառայությունների և հետազոտությունների ոլորտում ներքին արհեստական ինտելեկտը խթանելու համար

ブラジル、公共サービスと研究における国内AIの強化に40億ドルを投入

ბრაზილია 4 მილიარდ დოლარს გამოყოფს შიდა ხელოვნური ინტელექტის გასაძლიერებლად საჯარო სერვისებსა და კვლევებში

Бразилия выделяет 4 миллиарда долларов на развитие отечественного ИИ в государственных службах и исследованиях

බ්‍රසීලය රාජ්‍ය සේවා සහ පර්යේෂණ සඳහා ගෘහස්ථ AI ඉහළ නැංවීමට ඩොලර් බිලියන 4ක් කැප කරයි

Brazil waxay ballan qaadaysaa $4 bilyan si ay u xoojiso AI gudaha Adeegyada Dadweynaha iyo Cilmi-baarista

Бразилія виділяє 4 мільярди доларів на розвиток внутрішнього штучного інтелекту в державних службах і дослідженнях

Brazil cam kết đầu tư 4 tỷ đô la để thúc đẩy AI trong nước trong các dịch vụ công và nghiên cứu

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