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Track 2

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From POC to Production: Scaling AI with Data Science and Infrastructure Best Practices
Pinehurst Room
Once your AI proof-of-concept shows promise, the next challenge is scaling it into a robust, production-grade solution. This session dives into the technical considerations for deploying AI at scale, including model lifecycle management, data pipelines, MLOps, and infrastructure choices (cloud, hybrid, edge). We’ll discuss how to ensure performance, reliability, and governance across AI systems, and share lessons learned from scaling initiatives. Ideal for technical teams and architects, this session bridges the gap between experimentation and enterprise-grade deployment.

Speakers

David Ellison
Chief Data Scientist & Director of AI Engineering
Lenovo ISG
John Encizo
Field Chief Technology Officer
Lenovo Americas Infrastructure Group