Scale and accelerate the impact of generative AI with watsonx
summary
IBM shows a platform that trains and deploys foundation models on AWS, includes watsonx.ai, a model library with Llama Two and StarCoder, and claims a 40% productivity gain in HR from deployed assistants. watsonx.data is a lakehouse using Iceberg, Presto and Velox and adds a vector store; Db2 runs as OLTP on RDS with zero‑ETL to Db2 Warehouse. watsonx.governance tracks lineage, bias, performance and regulatory controls, and assistants (Orchestrate, Assistant, Code Assistant) automate workflows, customer support, and code gen.
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chapters (10)
- 0:00Evolution of IBM AI
- 2:12AI for business applications
- 6:19Guiding principles for enterprise AI
- 9:49The Watson x platform
- 12:48Data lakehouse architecture
- 18:03Governance and lifecycle management
- 21:44Assistant tools and integration
- 25:43Consulting and ecosystem partners
- 28:54IBM and Meta collaboration
- 37:16Future trends and wrap up
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