Jatindra Singh Deo

MLOps Implementation at Genpact

A distinguished technology evangelist at Data science and Insights Practice Genpact with 17 years of experience in Enterprise Architecture, playing the role of a Senior Technology Architect. He has been architecting and engineering solutions around AI/ML, ML-Ops, advanced visualization, and Big Data in a multi-cloud environment. Engineering solutions are built to scale keeping in context functional and non-functional specifications. Participating in client engagements, upskilling, mentoring a high-performance engineering team, setting best practices, standards, next-generation technology landscape and multi-cloud digital transformation roadmaps.

All Sessions by Jatindra Singh Deo

  • Day 2 Hall 3

    22 Sep 2022

  • 15:00  - 16:00
    Across industries, enterprise leaders are ramping up digital initiatives at an unprecedented pace, reinventing how we live and work. But as these projects get underway, it has been witnessed that roughly only half of all AI proofs of concept ever make it to production. The complexity of ML implementation varies with increasing degrees of expectation from ML infrastructure, model complexity, and deployment. At its core, machine learning operations (MLOps) help teams consistently develop, deploy, monitor, and scale AI and ML models, mitigating the potential risks associated with not having a framework for sustainable innovation.
    Hall 3: Tech Deep Dives



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Jatindra Singh Deo