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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Speaker
Raghu Balasubramanian
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Raghu Balasubramanian is the Head of Data Analytics & AI for Enabling Units IT at Astrazeneca. As part of this role, he is responsible to:
a) Implement Data Mesh principle in Enabling units (Finance, M&A, HR, Learning, Compliance, Legal and Internal Audit) and create reusable data products.
b) Lead the creation of a new Generative AI and Agentic AI portfolio within Enabling Units IT.
Prior to AstrZeneca, Raghu had 10+ years’ consulting experience working in the US where he had crafted and led multiple large and complex data transformation programs delivering strong outcomes by leveraging Cloud technology, Next-Gen engineering, and Data Science.
Bio from: gartner-data-analytics-india-2025
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