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Sujith Kumar Menta
Data Analytics & AI Lead, Global Supply Chain, Operations IT
AstraZeneca
Speaker Bio
Sujith Kumar Menta is the Data Analytics & AI Lead for Global Supply Chain in Operations IT at Astrazeneca. As part of this role, he is responsible to:
a) Building Data products for multiple use cases like GenAi Assistants, Digital Twin solutions which act as building blocks for delivering “Self-Healing Supply Chain” strategic initiative.
b) Lead the creation of a new Generative AI and Agentic AI portfolio within Operations IT .
Working in AstraZeneca for almost a decade, he has led complex digital transformation programs through RPA, Automation and setting up Information Architecture capability within Commercial IT. Over the last 5 years, Sujith has been instrumental in building the Data, Analytics & AI Capability within Operations IT which delivers strong business outcomes by leveraging Cloud technology, Next-Gen Data Engineering, and AI.
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a) Building Data products for multiple use cases like GenAi Assistants, Digital Twin solutions which act as building blocks for delivering “Self-Healing Supply Chain” strategic initiative.
b) Lead the creation of a new Generative AI and Agentic AI portfolio within Operations IT .
Working in AstraZeneca for almost a decade, he has led complex digital transformation programs through RPA, Automation and setting up Information Architecture capability within Commercial IT. Over the last 5 years, Sujith has been instrumental in building the Data, Analytics & AI Capability within Operations IT which delivers strong business outcomes by leveraging Cloud technology, Next-Gen Data Engineering, and AI.
Session
Tuesday, 03 June, 2025 11:00 AM - 11:30 AM IST
Executive Story: AstraZeneca Generative AI Capability Centre
Raghu Balasubramanian,
Head of EUIT DA & AI, AstraZeneca
Sujith Kumar Menta,
Data Analytics & AI Lead, Global Supply Chain, Operations IT, AstraZeneca
AstraZeneca has implemented a "platform" approach, which serves as a centralized repository of standardized, enterprise grade, reusable services and capabilities that are accessible to AI factories. This platform includes user interfaces, APIs that integrate AI services with enterprise systems, supporting resources like data import tools and agent orchestration services. AstraZeneca will share how, starting with a few generative AI use cases, they have successfully identified common services and capabilities, subsequently standardizing these elements to maximize their applicability through the platform. These solutions leverage technologies like GPT models, Natural Language Processing and Retrieval Augmented Generation (RAG) architecture.
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