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AWS re:Invent 2025 - Building software like never before with Agentic AI (DVT220)
AWS re:Invent 2025 - Introducing AI driven development lifecycle (AI-DLC) (DVT214)
AWS re:Invent 2025 - AI agents at the edge: Build for offline, scale in cloud (DEV301)
AWS re:Invent 2025 - Building Predictable AI Agents with Pega and Amazon Bedrock (MAM104)
AWS re:Invent 2025 - Building Prudential’s microagent platform with MCP and A2A on AWS (IND3302)
AWS re:Invent 2025 - Building autonomous AI at scale with Amazon Bedrock (AIM390)
AWS re:Invent 2025 - An unexpected journey building AWS MCP Servers (OPN401)
AWS re:Invent 2025 - Data Processing architectures for building AI solutions (ANT328)
AWS re:Invent 2025 - Build AI-powered developer experiences with MCP on ECS and EKS (CNS358)
AWS re:Invent 2025 - Driving modernization using Mphasis’ Agentic AI framework (MAM219)
Data is compiled from public records and verified media reports.
Last Updated: October 3, 2026
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Summary
Agents in Tines are powerful enablers you Join this session to master the art of Transform the back-office from a cost center into a competitive advantage with Pega Predictable Enterprises are exploring ways to scale their This session explores the evolution from generic Prepare to revolutionize your data infrastructure for the Enterprise developers face challenges processing diverse unstructured content across multiple formats, often requiring complex ...
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