Accelerate generative AI development with integrated data platforms
summary
92% of Fortune 500 companies already use generative AI, and the claim is that an integrated open source data platform accelerates safe, real‑time deployment by consolidating scattered data, removing PII, and injecting context via embeddings. Concrete stack pieces: Postgres embeddings, OpenSearch + vector search, Kafka + Flink streaming with ClickHouse for analytics, plus options for fine‑tuning or prompt‑assembly context. Case studies: Alef Education, Labelf, and Sway AI report production usage. Aiven offers a one‑month, $300 trial to test the setup.
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chapters (10)
- 0:00Generative AI adoption numbers
- 1:05Introduction and speaker background
- 2:53Challenges with private data
- 5:57Data needs for AI integration
- 8:14Real-time data harvesting
- 9:20Fine-tuning vs prompt assembly
- 10:45Architecture for AI integration
- 12:34Simplifying data integration
- 15:24Customer success stories
- 16:50Call to action and resources
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