Reducing Technical Debt with MLOps and the DataKitchen DataOps Platform
Reducing Technical Debt with MLOps and the DataKitchen DataOps Platform

Abstract: 

Machine learning tools are evolving to make it faster and less costly to develop AI systems. But deploying and maintaining these systems over time is getting exponentially more complex and expensive. MLOps or “DataOps” makes it possible to maintain, monitor, and update these systems and deliver value instantly, without errors. In this demo, Chris will share real-life examples of companies that used DataOps and the DataKitchen DataOps Platform to generate significant business value from their data.

Bio: 

Chris Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 25 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Chris is a recognized expert on DataOps. He is the co-author of the "DataOps Cookbook” and the “DataOps Manifesto,” and a speaker on DataOps at many industry conferences. Chris has an M.S. from Columbia University and a B.S. from the University of Wisconsin-Madison.