DataOps vs. MLOps - The Data Championship

Presented by

Ashwin Nayak, VP of Engineering at Zaloni

About this talk

With so many buzzwords in the IT industry earning the “Ops” title - Zaloni’s VP of Engineering breaks down exactly what the differences, similarities, and benefits are between DataOps and MLOps, and how they can be used together as an integrated approach for best results. Hear from Ashwin Nayak on how automated DataOps can be used independently or alongside the collaborative practice of MLOps to drive ultimate analytics and machine learning success. What you will learn: - Definition of DataOps and MLOps - How MLOps can be integrated in the end-to-end DataOps journey - Process and team required for successful rollout

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At Zaloni, we believe in the unrealized power of data. Our software platform, Arena, improves DataOps with an augmented catalog and controlled, self-service consumption. We work with the world's leading companies, delivering trusted data agility and cost savings while accelerating the time to analytics value. To find out more visit