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AI Explained

AI Explained

By: Fiddler AI
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 AI Explained is a series hosted by Fiddler AI featuring industry experts on the most pressing issues facing AI and machine learning teams. Learn more about Fiddler AI: www.fiddler.aiCopyright 2024 All rights reserved.
Episodes
  • Building Agents at Scale: Lessons from the Front Lines With Gary Stafford

    Building Agents at Scale: Lessons from the Front Lines With Gary Stafford
    Sep 25 2025

    In this episode of AI Explained, we are joined by Gary Stafford, Principal Solutions Architect at AWS Strands Agents.

    He delves into how enterprises choose between AI/ML and agentic approaches, patterns for multi-agent systems, and the role of MCP. Gary also shares real-world use cases and practical guidance on safety, scaling, and delivering enterprise-ready agent systems.
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    58 mins
  • Lessons Learned from Building Agentic Systems With Jayeeta Putatunda

    Lessons Learned from Building Agentic Systems With Jayeeta Putatunda
    Aug 16 2025

    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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    47 mins
  • Agent Wars: The Hype, Hope, and Hidden Risks with Nate B. Jones

    Agent Wars: The Hype, Hope, and Hidden Risks with Nate B. Jones
    Jul 24 2025

    In this episode of AI Explained, we are joined by Nate B. Jones, AI strategist.

    He explores high-level advice for organizations, technical ideas such as prompting and application architecture, and the current state of agent adoption. Key topics include challenges in building production-ready agents, architectural decisions, and ensuring ROI from these agents.
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    56 mins
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