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Session Abstract
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Session #
14-5
Data Science & AI
Build Generative AI operations at scale
Equip leaders with strategies for building scalable, secure, and economically feasible Generative AI operations using Lifecycle Machine Learning Operations (LLMOps) and responsible AI.
Business Value: How scaled Generative AI can transform operations and increase business value.
Risk Mitigation: Addressing potential security risks and inefficiencies through strategic architectural planning.
Capability Enhancement: Knowledge to enhance AI operations responsibly and efficiently.
Takeaways: Participants will learn to architect and implement Generative AI effectively, ensuring responsible use and maximizing business benefits.
Abhishek Kumar Agarwal
Product Manager
Hewlett Packard Enterprise
Abhishek Agarwal is spearheading the development of a cutting-edge data analytics and AI platform for global enterprises, expertly integrating open-source toolkits for hybrid deployments.
With extensive experience in product management, strategy, and operations, he excelled as a Sr. Product Manager (Tech) at Amazon Web Services (AWS), leading the creation of SageMaker, a premier machine learning model platform. An alumnus of Yale University and the Indian Institute of Technology, his insights have been featured in renowned media outlets.
With a background in Unilever, Abhishek thrives in collaborative, multidisciplinary environments. His proficiency spans AI/ML, MLOps, Cloud Cost Management, Product Management, Leadership, and more. Connect with Abhishek to delve into his world of innovation and business expertise.
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