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As AI evolves from reactive chatbots to autonomous agents, organizations face both risk and great opportunity. In this Executive Summit session from AWS re:Invent, hear from Derek Anthony, Chief Information Security Officer for energy giant bp, and Amy Herzog, AWS Chief Information Security Officer, about how both companies are using AI to accelerate innovation and defend against AI-powered threats.

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Learn how AWS Partners can unlock new revenue streams by bringing their agentic AI solutions, including agents, tools, and professional services, to market through AWS Marketplace. This session covers how Partner solutions complement the AWS AI stack, best practices for marketplace product positioning, and includes a demonstration of how customers can deploy your AI solutions on Amazon Bedrock AgentCore.

Going to market with your SaaS offer has never been easier. Come learn how startups around the world are making use of the AWS Marketplace to expand their customer reach. Leverage the experience of Corent and NSight Live to launch your startup on the Marketplace in days.

SageMaker AI Inference delivers dedicated endpoints via Managed Inference and inference stacks via HyperPod Inference for Traditional ML, Generative AI, and BYO Custom Model workloads. SageMaker Managed Inference serves customers seeking fully managed inference experiences with configurability and control over instance types, model architecture, and cost-latency-throughput tradeoffs.

Learn how CANAL+ and Dailymotion partnered with AWS Enterprise Skills Transformation to deliver a joint AI Guild Incubator Hackathon, and use gamified cloud learning to upskill their employees. AWS Guild Incubator is a 4-month engagement designed to run a 12-week team-based training competition that results in real business solutions.

Discover how Amazon Web Services helps the public sector transform the services it provides to Canadians while meeting security, sovereignty, and sustainability requirements. Listen to insights from keynote speaker Dave Levy, AWS Vice President of Worldwide Public Sector, and three special guests: Jesse Dougherty, AWS Vice President of Global Networking; John Ostrander, Business Lead for Benefits Delivery Modernization and IT, Employment and Social Development Canada; and Joelle Pineau, Chief...

Join Olympic silver medalist Jenna Strauch as she shares powerful insights from her remarkable journey to Olympic success. Drawing parallels between elite sport and business leadership, Strauch reveals how data-driven decision-making, constructive feedback, and a focus on process over outcomes drives high performance. She discusses building resilient teams, managing setbacks, and fostering a culture where failure leads to growth.

Research-focused quantitative analytics platforms specializing in computational finance and market microstructure investigated a key challenge in financial machine learning: the inherent bias of traditional LLMs when analyzing high-dimensional market data and temporal price series for high-frequency trading applications. This case study explores a novel agentic AI architecture that eliminates conventional model fine-tuning needs, enabling rapid deployment of advanced quantitative strategies.

LPL Financial is one of the fastest growing Broker Dealers, with an aim to grow their client base exponentially leading them to build a future ready Trading Platform. To build a futuristic Trading platform, know how can they integrate advanced technologies like artificial intelligence (AI), leverage microservices and cloud infrastructure, and plan for disruptive innovations.

StradVision is a Vision AI startup offering ADAS/AV models for automotive companies such as BMW. So far, 3M+ vehicles from 13+ OEM have equipped with StradVision's Vision AI perception software. StradVision migrated 1PB+ data from on-prem to S3, run data processing/labeling jobs on EKS/ECS, and training AI model by leveraging GPU instances on AWS. This reduced data processing time, improved latency for data labeling workloads, and accelerated AI model development pace.

What if marketing teams could move at the speed of ideas? Most marketing operations are stuck in a 4-6 week cycle of manual handoffs. Gradial is helping enterprise marketers by connecting creative systems and automating the journey from idea to published content. Discover how AI orchestration, powered by Bedrock and Nova models, is transforming content operations—and why the future of marketing isn't about doing more tasks, it's about freeing creative minds to do what they do best.