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Bots are getting smarter - your defenses should too. Learn how to build intelligent bot detection and deliver content securely using AWS WAF and Amazon CloudFront. In this live coding session, we’ll show you how to treat bots and humans differently (in a good way), serving optimized content to each without compromising performance or security. You'll explore WAF’s bot control, real-time request handling with CloudFront Functions, and clever tricks like request/response manipulation.

IBM Consulting leader Balu Angaian, Vice President and Senior Partner, AWS Strategic Partnership and Practice Leader, Americas, IBM Consulting, joins Jake Burns, Enterprise Strategist, AWS, to discuss how to solve complex enterprise challenges. By leveraging AWS services like Amazon Bedrock, IBM helps enterprises enhance business processes through domain-specific agentic AI solutions available on AWS Marketplace, while also using AI to modernize IT infrastructure and applications.

Discover how Amazon Ads harnesses the power of large language models (LLMs) to enhance shopper discovery and drive better outcomes for advertisers. This session explores the AWS-based machine learning infrastructure that fuels these innovations, including fine-tuning, model serving, and real-time inference at scale. Learn how we optimized cost, latency, and reliability to deliver LLM-powered solutions across the Amazon Ads ecosystem while maintaining the high performance our customers expect.

Don't miss this no-nonsense interview as AWS's Randi Larson brings together Cosine AI CEO & Co-founder Alistair Pullen and AWS Custom Model Program Global Head Dr. Hannah Marlow, PhD, for a frank discussion on when off-the-shelf AI (pre-built models) falls short. Their candid conversation reveals why leading enterprises are pursuing customization and what it really takes to adapt models for complex business environments.

AI is transforming how we monitor and manage complex systems. But, while AI can predict, prevent, and even fix problems, it can also fail quietly. This session explores both sides of the coin: AI-powered observability, where AI augments human capability to detect and resolve issues faster, and observability for AI, where we ensure AI itself remains accurate, fair, and reliable.

Stay ahead with the cutting-edge capabilities of Amazon's robust block storage solution in Amazon EBS. Join this session for a comprehensive overview of the latest advancements and features in Amazon Elastic Block Store (EBS). Learn about recent performance improvements, cost optimization strategies, new features that enhance data resiliency and storage efficiency, and practical insights for leveraging EBS in modern cloud environments.

Amazon EBS delivers the performance and scale enterprise workloads demand. With gp3 volumes now supporting up to 64 TiB, 80K IOPS, and 2,000 MiB/s, you can consolidate storage and scale cost-effectively. io2 Block Express offers up to 256K IOPS and sub-millisecond latency for your most demanding applications. Accelerate dev/test with instant Volume Clones, and improve disaster recovery with Provisioned Rate for Volume Initialization and Time-based Snapshot Copy.

Marketing teams require AI agents capable of orchestrating complex campaigns with enterprise controls. This session explores Epsilon's production-ready multi-agent system built with Amazon Bedrock AgentCore for intelligent marketing campaigns. Learn to implement secure agent collaboration using AgentCore Runtime for parallel execution, Gateway for controlled data access, and Identity for granular permissions.

Learn how LanceDB helps you to more easily store, index, and search over petabytes of multimodal data and vectors with ease. Solutions Architects, Giuseppe Battista and Kevin Shaffer-Morrison talk to LamceDB about it's fast, scalable, and production-ready vector search. Discover how its built on top of the Lance columnar format. See how you can use it as a central location where developers can build, train and analyze their AI workloads.

Join AWS She Builds hosts Kandyce Bohannon and Yusra Al-Sharafi as we explore the power of Amazon Q Developer's custom agent capabilities. In this hands-on session, we'll build and orchestrate intelligent agents that transform how we work with AWS: 🤖 Amazon Q Developer Custom Agents - Creating specialized agents for project management, architecture design, and security review 🔗 Agent Orchestration - Coordinating multiple Q Developer agents through Model Context Protocol (MCP) ⚡ Q CLI...

Organizations are accelerating innovation with generative AI and agentic AI use cases. This session explores how AWS streaming and messaging services such as Amazon Managed Streaming for Apache Kafka, Kinesis Data Streams, Amazon Managed Service for Apache Flink, and Amazon SQS build intelligent, responsive applications.

Learn how to use agentic AI-powered AWS Transform to perform full-stack Windows modernization, including UI layer WebForms to Blazor, business logic/app layer .NET Framework to cross-platform .NET, database layer SQL Server modernization to Aurora PostgreSQL, and infrastructure layer to test & deploy transformed apps on AWS. Learn more about AWS Transform for full-stack Windows modernization: https://go.aws/3Yj1NnC Learn more about AWS events: https://go.