In this keynote from AWS re:Invent 2023, Dr. Swami Sivasubramanian explores the powerful symbiosis between humans, data, and generative AI. He discusses how AWS is enabling customers to build differentiated GenAI applications using their own data, highlighting new capabilities in Amazon Bedrock, SageMaker, and other AWS services. Key announcements include Claude 2.1 and Llama 2 70B in Bedrock, Titan Multimodal Embeddings, Titan Image Generator, SageMaker HyperPod, vector search capabilities across databases, and Amazon Q for SQL generation and data integration. Customer speakers from Intuit, Perplexity, and Booking.com share how they're leveraging AWS to build innovative AI-powered experiences. The keynote emphasizes responsible AI development and the critical role of human creativity in this new era of technology.

01:20 - Welcome & Opening Remarks
03:45 - Ada Lovelace
07:30 - Data + Generative AI + Humans - the three areas of symbiosis
10:20 - Amazon Bedrock / Foundational Models Overview
12:58 - LAUNCH - Anthropic Claude 2.1 now available in Amazon Bedrock
14:00 - LAUNCH - Meta Llama 2 70B now available in Amazon Bedrock
17:45 - LAUNCH - Amazon Titan Multimodal Embeddings
19:50 - LAUNCH - Amazon Titan Image Generator
25:00 - Guest Speaker - Chung Ho, VP of AI, Intuit
34:20 - Data is your Differentiator
38:00 - Reinforce Knowledge Bases for Bedrock
44:30 - LAUNCH - Custom model program for Anthropic Claude
48:55 - LAUNCH - Amazon Sagemaker HyperPod
51:16 - Guest speaker - Aravind Srinivas, Co-Founder and CEO, Perplexity
1:00:20 - LAUNCH - Vector engine for OpenSearch Serverless
1:03:50 - LAUNCH - Amazon Neptune Analytics
1:08:15 - LAUNCH - Amazon OpenSearch Service zero-ETL Integration with Amazon S3
1:11:45 - LAUNCH - AWS Clean Room ML
1:13:00 - Guest Speaker - Rob Francis SVP and CTO, Booking.com
1:24:15 - LAUNCH - Amazon Q generative SQL in Amazon Redshift
1:26:15 - LAUNCH - Amazon Q data integration in AWS Glue
1:27:40 - Guest Speaker & Demo - Shannon Kalisky, Senior Technical Product Manager, Amazon Quicksight, AWS - Zero-ETL
1:33:30 - Hurone AI Story / Human Productivity
1:45:00 - LAUNCH - Model Evaluation on Amazon Bedrock
1:50:23 - Conclusion