DataOps vs. MLOps – The Data Championship

September 9th, 2021

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