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Andy Jassy

@ajassy2,223,298 subscribers

Lead Amazon, married and father of two kids, big sports/music/film fan, experienced buffalo wings eater. Go Kraken!

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Thousands of fresh groceries are now available for Same-Day Delivery orders in 1,000+ U.S. cities and towns, with plans to expand to 2,300+ by end of 2025. Think customers are going to love being able to add fresh produce, milk, eggs, and more to their everyday Amazon purchases in one cart, delivered within hours.

Thousands of fresh groceries are now available for Same-Day Delivery orders in 1,000+ U.S. cities and towns, with plans to expand to 2,300+ by end of 2025. Think customers are going to love being able to add fresh produce, milk, eggs, and more to their everyday Amazon purchases in one cart, delivered within hours.

885,067 次观看

One of many frustrating experiences in healthcare today is calling for health advice and having to start from scratch, explaining your entire medical history, again. We’re working to solve that with Health AI for Amazon One Medical patients—a clinically grounded, highly personalized agentic AI assistant based on your complete health background. Integrates with One Medical membership in the One Medical app—safely and securely—so it knows your medical history, current medications, lab results, and upcoming appointments. And doesn't just answer questions—it can help you book appointments, submit prescription renewals, or guide you to the right care... whether that's a virtual visit, in-person appointment, or urgent care. Excited for this to make the healthcare experience easier for patients so they can get and stay healthy. Here's an example of the experience below.

One of many frustrating experiences in healthcare today is calling for health advice and having to start from scratch, explaining your entire medical history, again. We’re working to solve that with Health AI for Amazon One Medical patients—a clinically grounded, highly personalized agentic AI assistant based on your complete health background. Integrates with One Medical membership in the One Medical app—safely and securely—so it knows your medical history, current medications, lab results, and upcoming appointments. And doesn't just answer questions—it can help you book appointments, submit prescription renewals, or guide you to the right care... whether that's a virtual visit, in-person appointment, or urgent care. Excited for this to make the healthcare experience easier for patients so they can get and stay healthy. Here's an example of the experience below.

144,178 次观看

First ever color Kindle Scribe is here and think customers are going to really like it. We completely redesigned it from the ground up, and it’s now ultra-thin, writing and sketching feels like it’s happening on paper, and moving between pages is almost instantaneous. The AI we’ve baked in (featuring our Nova models) is especially useful, helping people find their notes, create note summaries, and ask questions of their notes. Think this is gonna change how folks work.

First ever color Kindle Scribe is here and think customers are going to really like it. We completely redesigned it from the ground up, and it’s now ultra-thin, writing and sketching feels like it’s happening on paper, and moving between pages is almost instantaneous. The AI we’ve baked in (featuring our Nova models) is especially useful, helping people find their notes, create note summaries, and ask questions of their notes. Think this is gonna change how folks work.

64,250 次观看

Remember when we as football fans had to rely solely on paper draft guides, sports radio rumors, and gut feelings to predict draft day decisions? Excited that fans now have access to the NFL's Draft IQ powered by Amazon Web Services ( – the most sophisticated tool yet for following the NFL draft and your favorite team's strategy. Draft IQ is built on Amazon QuickSight, our cloud business intelligence service that makes it easy to analyze and visualize massive amounts of data. QuickSight processes real-time data to give fans unprecedented insight into team decision-making, updating the entire draft landscape every five minutes. You can explore team needs, draft capital, and front office tendencies through personalized team dashboards, plus get AWS-powered machine learning predictions about potential trades and picks. During draft week, fans can track picks, prospects, and Next Gen Stats in real-time. We're also introducing Amazon Q Business integration, our generative AI-powered assistant. Q Business leverages large language models to understand and respond to natural language queries, allowing fans to ask detailed questions about draft prospects, team strategies, and historical draft data. It can provide AI-generated insights based on the same historical Next Gen Stats research data that powers Draft IQ, giving fans a new way to engage with the draft experience (check out the example below). Can't wait to see what stories the data tells us as teams make their selections and excited to dig into the Giants' data myself :)

Remember when we as football fans had to rely solely on paper draft guides, sports radio rumors, and gut feelings to predict draft day decisions? Excited that fans now have access to the NFL's Draft IQ powered by Amazon Web Services ( – the most sophisticated tool yet for following the NFL draft and your favorite team's strategy. Draft IQ is built on Amazon QuickSight, our cloud business intelligence service that makes it easy to analyze and visualize massive amounts of data. QuickSight processes real-time data to give fans unprecedented insight into team decision-making, updating the entire draft landscape every five minutes. You can explore team needs, draft capital, and front office tendencies through personalized team dashboards, plus get AWS-powered machine learning predictions about potential trades and picks. During draft week, fans can track picks, prospects, and Next Gen Stats in real-time. We're also introducing Amazon Q Business integration, our generative AI-powered assistant. Q Business leverages large language models to understand and respond to natural language queries, allowing fans to ask detailed questions about draft prospects, team strategies, and historical draft data. It can provide AI-generated insights based on the same historical Next Gen Stats research data that powers Draft IQ, giving fans a new way to engage with the draft experience (check out the example below). Can't wait to see what stories the data tells us as teams make their selections and excited to dig into the Giants' data myself :)

102,869 次观看

So many goodies released today for booklovers. Especially excited for customers to get their hands on our new Kindle Colorsoft, our first-ever color Kindle. Also the popular Kindle Paperwhite is now faster with a larger display, and we’ve added an AI notebook to our all-new Kindle Scribe, which can quickly summarize and refine your notes, making them easy to share. Think this will help folks enjoy the Kindle experience even more!

So many goodies released today for booklovers. Especially excited for customers to get their hands on our new Kindle Colorsoft, our first-ever color Kindle. Also the popular Kindle Paperwhite is now faster with a larger display, and we’ve added an AI notebook to our all-new Kindle Scribe, which can quickly summarize and refine your notes, making them easy to share. Think this will help folks enjoy the Kindle experience even more!

53,277 次观看

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

24,990 次观看

The NFL's 2024 schedule is out, and it’s no easy feat. Proud of Amazon Web Services's partnership w/ the NFL to help power the complex process of creating matchups for 32 teams from one quadrillion possibilities, based on factors like stadium availability, travel, primetime games, competitive fairness, and division rivalries. Excited for our NFLonPrime slate this season—our third year bringing fans the best viewing experience, top on-air talent, Emmy Award-winning production, best-in-class streaming quality, and AI-driven enhancements. As you can see from the schedule below, there’s lots to look forward to. Can’t wait for things to kick off on Sept. 12 with Buffalo Bills at Miami Dolphins, then have our second annual Black Friday Football matchup on Nov. 29 featuring the Super Bowl Champ Kansas City Chiefs vs Las Vegas Raiders, and also our first-ever NFL Wild Card Playoff game in January!

The NFL's 2024 schedule is out, and it’s no easy feat. Proud of Amazon Web Services's partnership w/ the NFL to help power the complex process of creating matchups for 32 teams from one quadrillion possibilities, based on factors like stadium availability, travel, primetime games, competitive fairness, and division rivalries. Excited for our NFLonPrime slate this season—our third year bringing fans the best viewing experience, top on-air talent, Emmy Award-winning production, best-in-class streaming quality, and AI-driven enhancements. As you can see from the schedule below, there’s lots to look forward to. Can’t wait for things to kick off on Sept. 12 with Buffalo Bills at Miami Dolphins, then have our second annual Black Friday Football matchup on Nov. 29 featuring the Super Bowl Champ Kansas City Chiefs vs Las Vegas Raiders, and also our first-ever NFL Wild Card Playoff game in January!

42,631 次观看

Our Thursday Night Football schedule for 2025 is here! For the NFL, building the perfect season schedule for all 32 teams requires analyzing one quadrillion possibilities – balancing everything from stadium availability to competitive fairness. Proud that Amazon Web Services powers this massive undertaking. As soon as the Super Bowl ends, the NFL uses thousands of AWS EC2 Spot instances to analyze over 100,000 potential schedules until they find the perfect one. Our fourth NFLonPrime slate is our strongest yet, featuring all 14 playoff teams from last season. We'll have two special holiday matchups – defending Super Bowl champion Philadelphia Eagles vs Chicago Bears on Black Friday and Kansas City Chiefs vs Denver Broncos in prime time on Christmas – plus, we'll cap off season coverage with a Wild Card playoff game in January. Can't wait to kick off our coverage September 11 on Prime Video with what should be a great one – Washington Commanders vs Green Bay Packers under the lights at Lambeau Field!

Our Thursday Night Football schedule for 2025 is here! For the NFL, building the perfect season schedule for all 32 teams requires analyzing one quadrillion possibilities – balancing everything from stadium availability to competitive fairness. Proud that Amazon Web Services powers this massive undertaking. As soon as the Super Bowl ends, the NFL uses thousands of AWS EC2 Spot instances to analyze over 100,000 potential schedules until they find the perfect one. Our fourth NFLonPrime slate is our strongest yet, featuring all 14 playoff teams from last season. We'll have two special holiday matchups – defending Super Bowl champion Philadelphia Eagles vs Chicago Bears on Black Friday and Kansas City Chiefs vs Denver Broncos in prime time on Christmas – plus, we'll cap off season coverage with a Wild Card playoff game in January. Can't wait to kick off our coverage September 11 on Prime Video with what should be a great one – Washington Commanders vs Green Bay Packers under the lights at Lambeau Field!

10,570 次观看

Videos

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Introducing Kiro, an all-new agentic IDE that has a chance to transform how developers build software. Let me highlight three key innovations that make Kiro special: 1 - Kiro introduces spec-driven development, helping developers express their intent clearly through natural language specifications and architecture diagrams for complex features. This comprehensive context helps Kiro’s AI agents deliver better results with fewer iterations. 2 - Kiro features intelligent agent hooks that automatically handle critical but time-consuming tasks like generating documentation, writing tests, and optimizing performance. These hooks work in the background, triggered by events like saving files or making commits. It’s like having an experienced developer constantly reviewing your work and handling the maintenance tasks that often get delayed. 3 - Kiro provides a purpose-built interface that adapts to how developers work. Whether you prefer chat interactions or working with specifications, Kiro supports your workflow while keeping you in control of the development process. Kiro is really good at "vibe coding" but goes well beyond that. While other AI coding assistants might help you prototype quickly, Kiro helps you take those prototypes all the way to production by following a mature, structured development process out of the box. This means developers can spend less time on boilerplate code and more time where it matters most – innovating and building solutions that customers will love. Starting today, Kiro is available for free during preview and supports most popular programming languages. Here’s how to get started with Kiro today: Excited to see how developers use Kiro, and to work with the developer community to continue to shape Kiro moving forward.

Andy Jassy

665,977 次观看 • 11 个月前

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One of the most tedious (but critical tasks) for software development teams is updating foundational software. It’s not new feature work, and it doesn’t feel like you’re moving the experience forward. As a result, this work is either dreaded or put off for more exciting work—or both. Amazon Q, our GenAI assistant for software development, is trying to bring some light to this heaviness. We have a new code transformation capability, and here’s what we found when we integrated it into our internal systems and applied it to our needed Java upgrades: - The average time to upgrade an application to Java 17 plummeted from what’s typically 50 developer-days to just a few hours. We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real). - In under six months, we've been able to upgrade more than 50% of our production Java systems to modernized Java versions at a fraction of the usual time and effort. And, our developers shipped 79% of the auto-generated code reviews without any additional changes. - The benefits go beyond how much effort we’ve saved developers. The upgrades have enhanced security and reduced infrastructure costs, providing an estimated $260M in annualized efficiency gains. This is a great example of how large-scale enterprises can gain significant efficiencies in foundational software hygiene work by leveraging Amazon Q. It’s been a game changer for us, and not only do our Amazon teams plan to use this transformation capability more, but our Q team plans to add more transformations for developers to leverage.

Andy Jassy

998,385 次观看 • 1 年前