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MLOps Demystified: Building Trusted and Ethical AI

October 3, 2021

Aruna Pattam
Head – AI & Data Science
HCL Technologies

We’re standing on the precipice of a new era in artificial intelligence and machine learning. It’s an exciting time for all of us, with AI helping us make faster decisions and work smarter. But as we move from theory into practice, there are still some big questions that need answering –how do we scale AI and help build trusted & ethical AI. Machine Learning Operations (MLOps) has been described as the next frontier in artificial intelligence that deals with deploying machine learning models into production, while ensuring high model performance, operationalizing ML processes and governance for a safe and ethical AI.

This session will focus on demystifying MLOps and discuss what it is, why it’s important, current challenges, who needs to be involved to execute MLOps successfully, machine learning model life cycles, use cases of MLOps and how it can help build trusted and ethical AI. Please join Aruna Patam as she takes you through a journey of MLOps.

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