Lessons Learned from Building Agentic Systems With Jayeeta Putatunda (Director of AI Center of Excellence at Fitch Group)
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In this episode of AI Explained, we are joined by Jayeeta Putatunda, Director of AI Center of Excellence at Fitch Group. She discusses essential lessons learned from building and deploying AI agent systems, including challenges in moving from concept to production, key evaluation metrics, and the importance of observability and guardrails in ensuring reliable AI systems.
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Chapters
- 0:00 Introductions
- 1:35 Reality Checks in Production Deployment
- 3:12 Handling Model Hallucinations and Accuracy
- 4:23 Types of Agent Systems and Frameworks
- 5:43 Use Cases and Business Value
- 7:17 Workflow Automation vs Autonomous Agents
- 9:49 Evaluation in Agent Systems
- 16:30 Evaluation and Observability in Agent Systems
- 32:48 Best Practices for Agent Development
- 36:08 Key Steps in Agent System Implementation
- 39:53 Building Stakeholder Trust in Agent Systems
- 44:26 Future of Agent Systems
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How long is this episode of AI Explained?
This episode is 46 minutes long.
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This episode was published on August 16, 2025.
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