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AWS offers a complete set of infrastructure tools that enable you to run virtually everything in the cloud: from enterprise applications and big data projects to social games and mobile apps. If you want to learn about the newest AWS services, meet experts from the AWS team and network with others in the industry, this is the place for you.

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  • Taking Agentic AI to Production + Amazon Quick and a Live AWS AI-DLC Demo

    Taking Agentic AI to Production + Amazon Quick and a Live AWS AI-DLC Demo

    Amazon San Diego Tech Hub (Corp Office), 10300 Campus Point Dr, San Diego, CA, US

    Most teams can stand up an agentic proof of concept. Far fewer get one safely into production and keep it there. In this session, Traey Hatch, CEO of New Math Data (an engineer-led AWS Advanced Tier partner and 2025 AWS Rising Star Partner of the Year), walks through what it actually takes to move agentic AI from idea to production and ongoing operation, then goes hands-on with two of the tools making that path faster.

    What we'll cover:

    From POC to production: the agentic lifecycle. What's really involved in taking an agentic use case live, walking through each stage: assessment and readiness, a scoped POC to validate the approach, the production build, and the ongoing adoption and xOps work that keeps a live agent accurate, governed, and cost-controlled after launch. Where teams stall, and how NMD helps at each step.

    Amazon Quick. What Quick brings to teams that want AI-powered answers and automation across their existing data, the benefits, where it fits, and how NMD helps stand it up as a governed, production-ready capability rather than a demo that stalls.

    AWS AI-DLC, with a live demo. What the AI-Driven Development Lifecycle is, why it's different from bolting an AI assistant onto how you already ship, and how it pairs with Kiro, AWS's agentic IDE, to turn intent into validated requirements, architecture, and working code. We'll demo it live and cover how NMD runs this as a hands-on workshop for teams.

    What attendees will walk away with:

    • A clear, stage-by-stage picture of what production-grade agentic AI actually requires, beyond the POC
    • A practical view of where Amazon Quick fits and how to avoid the "stalls at demo" trap
    • A live look at AWS AI-DLC and Kiro turning intent into working, spec-driven code
    • An understanding of the funding and support paths available to move an agentic initiative forward on AWS

    About New Math Data
    New Math Data is an engineer-led consultancy that designs, builds, and operates modern data, cloud, and AI solutions on AWS. As an AWS Advanced Tier Partner with more than 16 validated AWS Competencies and Designations, and the 2025 AWS Rising Star Partner of the Year for North America, NMD brings deep, proven expertise across AI, cloud migration and modernization, and data management, turning complex requirements into production-ready solutions, fast.

    This event is sponsored by New Math Data

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    50 attendees

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