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    Ensuring Accurate AI Agent Paths through Tracing and Evaluation

    AWS GenAI Loft | San Francisco

    Tag:

    -

    Zeit:

    -

    Typ:

    PERSÖNLICH

    Sprache:

    English

    Stufe(n):

    200 – Mittelstufe

    As agent-based applications move from prototype to production, observability becomes critical to ensuring correct, efficient, and trustworthy behaviors.

    ​Join Arize AI, AWS, and CrewAI for an evening focused on tracing and evaluating AI agent workflows. We’ll explore real-world techniques for gaining visibility into agent decisions, verifying tool usage and parameters, and implementing feedback loops that drive continual improvement. Learn how to debug, optimize, and monitor agents in dynamic, non-deterministic environments with the help of modern observability tools and agent frameworks.

    ​Whether you're building with Amazon Bedrock, CrewAI, or open-source frameworks like Strands, this event is for developers building the next generation of agentic systems.

    5:30 PM – 6:30 PM
    Registration & Networking

    6:20 PM – 6:40 PM
    The Case for Agent Observability
    Jason Lopatecki, CEO of Arize

    ​6:40 - 7:00 PM
    Agentic AI on AWS
    Karan Singh, Agentic AI Product Lead at AWS

    7:00 PM – 7:20 PM
    Deploying Enterprise Agents Into Production
    Joao Moura, Co-Founder CrewAI

    7:20 PM – 7:50 PM
    Instrumenting and Evaluating AI Agents at Scale
    AWS + Arize + CrewAI

    7:50 PM – 9:00 PM
    Networking Reception

    Please Note: Space is limited and registration does not guarantee entry. Attendance is based on a first come, first served basis. A valid, government-issued physical ID is required for entry into the facility.