March 31, 2026 • Live Virtual Event
Real-world case studies and frameworks for enterprise AI, data infrastructure, governance, and production-scale machine learning.
Learn from AI, ML and data leaders, and industry experts
CDOs, CAIOs, VPs of Data & Analytics driving enterprise AI strategy and investment.
Data engineers and ML engineers building and deploying production AI systems.
Platform engineers and architects designing and implementing AI/ML infrastructure at scale.
AI/ML CoE leaders establishing best practices and standards across organizations.
CDOs, CAIOs, VPs of Data & Analytics driving enterprise AI strategy and investment.
Get actionable frameworks, implementation patterns and lessons learned you can apply to your organization immediately.
Discover how enterprises including regulated industries and government organizations are solving the reproducibility, governance and scalability challenges for production AI.
Four hours of actionable insights for enterprise AI success
Himabindu Tummala
Distinguished Engineer, Dell Technologies
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…
Dr. Einat Orr
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.
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.
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