Scaling AI-Ready Data Products in Biopharma R&D: The What, Why, and How

In Biopharma R&D, early adopters are leveraging focused pools of structured data, known as Data Products, to power critical R&D initiatives. For broader adoption, a centralized infrastructure is essential to develop, manage, and scale AI-ready data products, enabling teams like those in biomarker discovery to access and analyze data across the enterprise.Cost-effectiveness is crucial, as data engineers face high expenses from data duplication, transfer, and the storage of large datasets such as genomics and imaging. Additionally, interoperability with existing systems is vital for smooth integration into R&D workflows.

In this session, Swetabh Pathak, CTO & Co-founder, will share strategies for building scalable, cost-efficient data platforms in Biopharma R&D. Attendees will learn how to create AI-ready data products that cut costs, enhance interoperability, and drive innovation.