Cognizant cognitive architecture for generative AI: The path to MVP
summary
Cognizant outlines a deployed cognitive architecture that combines Amazon Bedrock (private endpoints, pay-per-token) and SageMaker (on‑VPC GPUs) with Textract, DynamoDB for conversation state, PGVector/Pinecone for embeddings, RDS/Redshift and RAG. Claim: rapid prototyping to MVP — 350,000 associates surface 35,000 ideas, 3,200 gen‑AI candidates, 150 client engagements and ~400 concepts; result: six capabilities launched in 18 months, multiple pilots and an 8-week proof-of-value that proves the approach for secure, production RAG and knowledge‑query solutions.
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chapters (5)
- 0:00Introduction to generative AI
- 1:23Strategic AI framework
- 9:27Technical architectures
- 24:33Implementation methodology
- 36:41Williams Lee case study
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