Aws Re:invent 2023 - Build An End-To-End Data Strategy For Analytics And Generative Ai

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

AWS re:Invent 2023 - Best practices for analytics and generative AI on AWS (ANT329)

AWS re:Invent 2024 - Power up your customer experience with end-to-end data strategy (IMP209)

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

AWS re:Invent 2023 - Building a life science data strategy for accelerating insights (LFS203)

AWS re:Invent 2023 - Building an open source data strategy on AWS (ANT319)

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

AWS re:Invent 2023 - Data patterns: Get the big picture for data applications (PEX309)

Hot Desk Pod, Episode 40: AWS re:Invent, IBM, ServiceNow, RingCentral, Google, and Ocient

Moor Insights & Strategy

AWS re:Invent 2024 - A practitioner’s guide to data for generative AI (DAT319)

AWS re:Invent 2023 - A leader’s guide to generative AI: Using history to shape the future (SEG204)

AWS re:Invent 2023 - Building applications with generative AI and live data (BOA307)

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

AWS re:Invent 2023 - Zero to machine learning: Jump-start your data-driven journey (SMB204)

AWS re:Invent 2023 - Accelerate generative AI application development with Amazon Bedrock (AIM337)

AWS re:Invent 2023 - Build cloud data management across analytics, ML & gen AI applications (ANT208)

AWS re:Invent 2023 - Smarter, faster analytics with generative AI & ML (ANT323)

AWS re:Invent 2023 - Integrated data, generative AI, and a new era of health breakthroughs (LFS101)

AWS re:Invent 2023 - Navigating the future of AI: Deploying generative models on Amazon EKS (CON312)