Many organizations have successfully experimented with AI and machine learning, yet few have translated early pilots into scalable, production-grade systems that deliver sustained business value. As AI adoption accelerates in 2026, the challenge is no longer whether to invest in AI, but how to modernize legacy ML workloads, control infrastructure costs, and architect platforms that can support enterprise-scale performance, governance, and return on investment.
Designed for senior technology, data, and engineering leaders, this peer-to-peer engagement brings together technology and data leaders to explore what it takes to move beyond proof-of-concept deployments and isolated use cases toward fully operational AI systems on AWS. Executives can expect to walk away with a bank of insight into designing production-ready AI platforms that move beyond isolated use cases and support long-term business impact.
