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SUMMARY:Accelerating Enterprise Modernization with Agentic AI: Inside AWS Transform
DESCRIPTION:PyData St. Louis\nEnterprises today sit on mountains of legacy code — decades-old mainframe systems\, monolithic .NET applications\, and complex database architectures that resist modular change. Traditional modernization approaches take 18+ months of manual effort and face a shrinking pool of engineers who understand these systems. What if AI agents could reason about\, plan\, and execute code transformations at enterprise scale?\nIn this session\, Saurabh Sharma will walk through **AWS Transform** — the first agentic AI service purpose-built for enterprise modernization. You'll see how specialized AI agents collaborate to analyze legacy workloads\, decompose monoliths\, transform code across languages and frameworks\, and continuously remediate technical debt — all without the traditional bottlenecks of sequential tooling and scarce expertise.\n**What you'll learn:**\n\n* How agentic AI differs from traditional rule-based migration tools — agents that reason\, plan\, and adapt\n* Real-world transformation patterns: mainframe → cloud-native\, .NET modernization\, and custom code/API/framework transformations (including Python)\n* How "continuous modernization" shifts tech debt remediation from one-time projects to an always-on capability\n\n**Who should attend:** Software engineers\, data practitioners\, and technical leaders interested in the intersection of AI and large-scale software engineering. Whether you're modernizing legacy systems at work or curious about how LLMs are being applied beyond chatbots to real production code transformation — this session is for you.\nPyData St. Louis is part of the global PyData community. PyData is an educational program of NumFOCUS\, a nonprofit organization that promotes open practices in research\, data\, and scientific computing.
LOCATION:PyData St. Louis\, Saint Louis\, MO
URL:https://neerby.io/event/30049
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