THE FUTURE OF APPLIED AI
IN THE ENTERPRISE

Miami, FL | September 16, 2026

Jagbir Kaur

Matthew Denesuk

SVP, Data Analytics & AI at Royal Caribbean Group

Matt is the SVP of Data Analytics & AI at Royal Caribbean Group in Miami, FL. He oversees the development and deployment of data-driven and AI-based capabilities across the company. He currently serves on several Advisory Boards, including those for the University of Miami Frost Institute for Data Science & Computing and the Northwestern University MBAi program. He is also on the Board of Trustees at the Frost Museum of Science. He previously was Chief Data Science Officer, and a founder, of Noodle.ai, which provides AI-as-a-Service to enterprises and industrial firms. Prior to that, he was the Chief Data Science Officer and General Manager of the Data Science Center of Excellence at General Electric. He also led Smarter Planet Modeling & Analytics at IBM Research, and was a Partner in IBM’s Venture Capital Group. Matt speaks frequently at international conferences, has published widely in academic journals, and holds 25 patents. He has B.S., M.S., and Ph.D. Degrees from MIT and the University of Arizona.

Watch in-person: September 17

Panel: From Hype to Impact: What It Really Takes to Operationalize AI in the Enterprise

As generative and agentic AI evolve from buzzwords to real business enablers, the biggest question facing enterprise leaders is: how do we move from experimentation to scaled impact? This panel brings together senior leaders from Google, JPMorgan Chase, RCCL, and the City of Coral Gables to explore what it really takes to deploy and scale AI in complex enterprise environments.

We’ll dig into the infrastructure, governance, and cross-functional collaboration models that separate successful AI initiatives from stalled pilots. Panelists will share candid insights from both public and private sector implementations—ranging from agentic AI for operations to regulatory compliance, customer experience, and data infrastructure modernization. Whether you’re driving innovation at a large enterprise or charting your AI roadmap, this conversation will unpack the real challenges and key enablers of operationalizing AI at scale.

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