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Artwork for AWS for Software Companies Podcast
AWS for Software Companies Podcast · July 14 · 23 min

Ep214: Teradata, Amazon Bedrock AgentCore Unlock Zero-Data-Movement Analytics

Curious how AI can query your enterprise data without moving it or making things up? AWS and Teradata break down a trustworthy analyst agent built for real production use. Topics Include: Neha Wadhera (AWS) introduces Trinath Yarlagadda and the Teradata Analyst Agent Enterprise AI data prep is costly, stalling most orgs at experimentation Agent answers plain-English questions via traceable SQL, zero data movement Barrier removal drives 3.7x ROI and 40% productivity gains Healthcare demo setup: hospital COPD readmissions, ~$10K cost per incident Four design principles: traceability, no data movement, deterministic-first, governance as code Main orchestrator agent plans, writes SQL, calls Teradata MCP server Complex questions escalate to a context-isolated data scientist agent Built on Claude Agent SDK, running Bedrock Claude Sonnet/Haiku/Opus Live demo: COPD readmission rates explored through iterative agent reasoning Delegation demo: data scientist agent runs in-database analysis, surfaces factors Pre/post tool hooks log every step and cost to CloudWatch Agent hosted on Amazon Bedrock AgentCore, fully serverless and scalable AgentCore delivers runtime, memory, identity, and observability out of the box Lessons learned: guardrails first, deterministic ops, multi-agent registry, ongoing evaluation Participants: Trinath Yarlagadda – Principal Solution Architect – Agentic AI, Teradata Neha Wadhera – Sr Solutions Architect, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

0:00-23:19
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Curious how AI can query your enterprise data without moving it or making things up? AWS and Teradata break down a trustworthy analyst agent built for real production use.

Topics Include:

  • Neha Wadhera (AWS) introduces Trinath Yarlagadda and the Teradata Analyst Agent
  • Enterprise AI data prep is costly, stalling most orgs at experimentation
  • Agent answers plain-English questions via traceable SQL, zero data movement
  • Barrier removal drives 3.7x ROI and 40% productivity gains
  • Healthcare demo setup: hospital COPD readmissions, ~$10K cost per incident
  • Four design principles: traceability, no data movement, deterministic-first, governance as code
  • Main orchestrator agent plans, writes SQL, calls Teradata MCP server
  • Complex questions escalate to a context-isolated data scientist agent
  • Built on Claude Agent SDK, running Bedrock Claude Sonnet/Haiku/Opus
  • Live demo: COPD readmission rates explored through iterative agent reasoning
  • Delegation demo: data scientist agent runs in-database analysis, surfaces factors
  • Pre/post tool hooks log every step and cost to CloudWatch
  • Agent hosted on Amazon Bedrock AgentCore, fully serverless and scalable
  • AgentCore delivers runtime, memory, identity, and observability out of the box
  • Lessons learned: guardrails first, deterministic ops, multi-agent registry, ongoing evaluation


Participants:


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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