AWS re:Invent 2023 - Data patterns for generative AI applications (DAT338)

AWS re:Invent 2023 - Use RAG to improve responses in generative AI applications (AIM336)

AWS re:Invent 2023 - Putting your data to work with generative AI | AIM250-INT

Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote

AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407)

Brian Childress - Simplicity: The Key to Software Success

Generative AI in Data Management and Analytics, a New Era of Assistance, Productivity and Automation

AWS re:Invent 2023 - Take a load off: Diagnose & resolve performance issues with Amazon RDS (DAT202)

AWS re:Invent 2023 - Building APIs: Choosing the best API solution & strategy for workloads (SVS301)

RAG Architecture & MongoDB: The Future of Generative AI Apps

AWS re:Invent 2023 - Choosing the right generative AI use case (AIM212)

What are AI Agents?

AWS re:Invent 2023 - Best practices for serverless developers (SVS401)

The evolution of cloud security

AWS re:Invent 2023 - What’s next in contact centers with Amazon Connect and generative AI (BIZ216)

AWS re:Invent 2023 - Build an end-to-end data strategy for analytics and generative AI (ANT331)

Generative AI powered use cases for data engineers

AWS re:Invent 2023 - SaaS meets AI/ML & generative AI: Multi-tenant patterns & strategies (SAS306)

Power data analytics with generative AI using BigQuery and Gemini

AWS re:Invent 2023 - CEO Keynote with Adam Selipsky

AWS re:Invent 2023 - From hype to impact: Building a generative AI architecture (ARC217)