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Sateesh Gottumukkala

Director – Enterprise AI

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Sateesh is a AI & ML leader with experience in solving real world business problems across different domains using AI. Have experience with leading strategic initiatives and implementing AI & ML at scale. He was named in 40 Under 40 data scientists list in India 2023 by Analytics India Magazine, won various awards and hackathons. He holds master’s degree in business Analytics and Marketing as specialization and alumnus of NIT Trichy. Currently he is leading AI Innovation & Engineering initiatives at LTIMindtree.

This session aims to provide a comprehensive understanding of the foundational principles of trustworthy AI and how these principles can be effectively translated into practical implementations. It focuses on foundations of Trust , exploring key principles and challenges in implementing trustworthy AI, delves into the principles beyond Responsible AI that impact the trust in AI and adoption . The session also focusses on practical approaches to building trustworthy AI, future directions, and emerging trends. We will discuss practical examples on how trust principles can be implemented across the model lifecycle.

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

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