Scaling with MLOps hosted jointly by xpresso.ai & The Brainalytics
With Businesses moving towards more matured adoption of AI, the need for building more custom and tailored solutions become critical. And, as a consequence of this, an MLOps platform should be ‘scalable’ to meet the requirements without compromising on the best practices of DataOps, DevOps, and Model management.
This webinar invites views from industry practitioners and licensed MLOps platform vendors to come on one platform to discuss ‘Scaling with MLOps’. Where CIOs, CTOs, Chief Data Scientists, Chief Data Officers, Data Scientists both aspiring and experienced to be part of this webinar.
In this session we have explained the below-mentioned topics:
- What challenges do MLOPs address?
- Four critical deciding factors for an MLOps
- What to look out for in an MLOps platform?
This webinar is meant for businesses who either have a home-grown or a licensed MLOps platform or are in a process of zeroing on one such platform.
It was a great session filled with insights from our panel of experts – Nollie Maoto, Dino Bernicchi, Ruan Wannenburg, R. Krishna Kumar, and Jaspal Kahlon. We would like to thank them for sharing their views and making the webinar more interesting and engaging.
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