Agenda

Four hours of actionable insights, strategic frameworks, and real-world case studies from enterprise AI leaders.

Welcome & Opening

Welcome to the AI-Ready Data Summit!

AI-Ready Data Demystified: How to Unblock Enterprise AI Initiatives

CEO & Co-Founder, lakeFS

AI-ready data is the foundation that separates AI projects that scale from those that stall. Learn what it really means and why it’s the key to unblocking your enterprise AI initiatives.

Laying the Data Foundation for AI Success

Himabindu Tummala

Distinguished Engineer, Dell Technologies

This session will explore how organizations are preparing AI‑ready data and the critical role AI data platforms play in enabling a successful AI journey.

Lessons Learned Building an AI Factory

Thomas Vander Wal

Sr Staff AI Engineer – Chief Architect for AI Factory, Lockheed Martin

Lockheed Martin’s AI Factory is a suite of platforms developed to provide repeatable processes and enable traceability, reliability, and explainability throughout the AI development and deployment lifecycle. In this session, we’ll discuss how these platforms evolved, what worked well, what proved harder than expected, and what we would do differently with the benefit of hindsight.

Short Break

If You Can't Reproduce It, It Doesn't Count: Managing Data for AI

Oz Katz

CTO & Co-Founder, lakeFS

The technical foundation of AI-ready data infrastructure. Oz explores how to build reproducible ML pipelines, empower AI teams, and create the data foundations that make production AI possible.

From Tractor Edge to Model Training: The Lifecycle of AI-Ready Image Data

Rahul Ramakrishnan

AI Engineering Manager, CNH

How a leading agricultural equipment manufacturer captures images from the field and transforms them into training‑ready datasets for AI models. A practical look at managing the lifecycle of image data – from edge collection to model deployment.

Scaling ML Data Without Breaking Compliance

Mickaël Lacour

Sr ML Ops Engineer, Entrust

Managing large-scale ML data while meeting strict compliance requirements, and the practical strategies that enable this.

Driving End-User Adoption of AI-Ready Data Infrastructure

Joe Pringle

VP Customer Success, lakeFS

Why data scientists bypass governed workflows for data access and what to do about it. Practical strategies for making data version control invisible, beneficial, and sticky.

Short Break

AI Sovereignty and the Infrastructure Beneath

Matthew Miller

Sr. Principal Chief Architect, Field CTO Office, Red Hat

The evolution of AI platforms, data infrastructure, ecosystems supporting enterprise AI, and AI sovereignty.

From the AI Trenches: Lessons Learned Building Infrastructure for AI-Ready Data

Paul Gillin

Moderator, IT Journalist and Author

A candid panel discussion with industry experts, technology pioneers, and founders: Paul Dix, CTO of InfluxDB; Shirshanka Das, CTO of DataHub; and Guy Korland, CEO of FalkorDB. Hear real challenges, failures, and successes in building AI-ready data infrastructure.

Closing Remarks

Dr. Einat Orr

CEO & Co-Founder, lakeFS

Key takeaways from the summit and next steps for your AI-ready data journey. Learn about resources, community, and how to continue the conversation after the event.

The AI-Ready Data Summit is organized by lakeFS