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MLOps: Bridging the Gap between ML and Operations

When & Where

11:00 am – 11:30 am
Hall A1

About This Talk

In this session, our panel of experts will discuss how MLOps can streamline the machine learning lifecycle, from model development to deployment and monitoring. Learn best practices for implementing MLOps, real-world examples, and how it can help drive successful machine learning initiatives. Attend this session to gain valuable insights on how MLOps can help bridge the gap between machine learning and operations.


Dr Pandian Angaiyan
Dr Pandian Angaiyan (Moderator)
CTO, Hi-Tech
Tech Mahindra
Hagay Lupeshko
VP Engineering
Mosaic ML

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