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Andrew Ng is one of the world’s leading experts on AI, having co-founded DeepLearning.AI, serving as MGP of AI Fund, and as an adjunct professor at Harvard. In this video from the AWS Executive Summit, Ng offers a unique 360-degree view of AI leadership challenges and opportunities drawn from practical startup experience, enterprise governance insights, and deep technical expertise, as well as his insights into how Amazon draws — and keeps — its leadership talent.

To mark AWS's 20th anniversary, this fireside panel at AWS Summit Sydney 2026 brings together some of Australia and New Zealand's most iconic technology pioneers from Canva, NAB, and Xero for a conversation about the bold bets that shaped their companies, the moments cloud infrastructure changed what was possible, and what comes next in an AI-first world. Panellists: Cliff Obrecht (Co-Founder & COO, Canva), Steve Day (CTO, NAB), and Sukhinder Singh Cassidy (CEO, Xero).

AWS is accelerating Web3 development across diverse use cases, including AI agents entering the digital economy, through core infrastructure, specialized offerings, and partner solutions. Join AWS and Coinbase to dive deep into the fundamental building blocks and full-stack architecture where AI agents, powered by Amazon Bedrock, execute digital assets payments using open payment protocols over a public blockchain.

Headlines suggest AI is transforming software engineering overnight, but data from 400+ organizations shows a more nuanced reality. Join Justin Reock as he shares a data-driven “state of the union” on AI in engineering, combining large-scale benchmarks with stories from the field. He’ll cover the impact of AI, where adoption drives gains, and emerging trends such as differing effects on junior vs.

Discover how artificial intelligence is revolutionizing cloud financial operations. In this livestream, we'll explore cutting-edge AI techniques that optimize cloud costs, automate resource management, and deliver actionable insights for your FinOps strategy. Learn how leading organizations leverage machine learning to predict spending patterns, identify cost anomalies, and make data-driven decisions that maximize cloud ROI.

Join leaders from ADP and Itau as they share how they reimagined their mainframe-based mission-critical systems. Dive deep into their transformation journey, exploring crucial architectural decisions, risk mitigation strategies, and lessons learned. Discover how they leveraged AWS Transform's automated code analysis, documentation, and business rules extraction, paired with other AWS developer tools, to achieve efficiency gains in reverse engineering, forward engineering, and testing.

We go inside TBC.co's lab to see the future of AI efficiency. https://www.tbc.co/

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Your AI agent calls a tool, gets an error, and instead of telling you, it generates a confident 'success' response. The user never sees the failure. Here are 5 techniques to stop that. Every time your agent responds, you're paying for tokens going in and tokens coming out. If what goes in isn't right, you're burning money and getting hallucinations back. I walk through 5 techniques to reduce token waste, improve acuracy, and catch failures before your users see them.

Organizations are rapidly building AI applications and workflows to automate manual processes and boost productivity. The reality: many of these initiatives never reach production. This session explores the critical challenges of building, deploying, and scaling end-to-end enterprise AI systems and shares proven technical architectures and best practices to go from POC to production with Amazon Bedrock.

Explore how Amazon SageMaker Unified Studio tracks your data's complete journey end-to-end with its comprehensive data lineage functionality. In this demo, learn how to navigate the lineage tab to view the origin of your data assets, their transformations, and how they move across your organization.

In this video, we go beyond simple prompt-and-response interactions to explore the world of AI Agents. If you’re a software developer who wants to move past "toy" examples and build real-world applications that can reason, use tools, and interact with external systems, this guide is for you. We’ll break down the two massive limitations of standard LLMs—reasoning gaps and data isolation—and show you how the ReAct (Reasoning + Acting) framework turns a model into an autonomous agent.