AI
summary
IBM now owns StreamSets which supplies near‑real‑time pipelines that ingest at scale, auto‑adapt to schema and data drift so pipelines don’t need manual rewrites, and separate control plane and data plane so processing runs where data lives. Pipelines write to open table formats like Iceberg and to SingleStore in real time, enabling enrichment and feedback into the lake. watsonx provides model fine‑tuning, prompt tuning and a prompt lab plus collaborative model building, while governance captures metrics and a model inventory for MLOps.
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chapters (8)
- 0:00Introduction and agenda
- 1:49StreamSets capabilities overview
- 5:21What's Next AI pillar
- 8:14What's Next data pillar
- 12:11What's Next AI prompt lab
- 14:20AI governance and stewardship
- 16:08SingleStore integration overview
- 19:38Q&A and closing
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