Nishesh Aggarwal

Pharma leaders face pressure to accelerate commercialization and improve launch performance, yet many commercial analytics teams are held back by fragmented data, brittle dashboards and heavy manual insight generation. At the same time, generative AI is rapidly advancing from copilots to fully-agentic systems, creating new opportunities and risks in regulated environments. In this session, Merck and ZS show how Merck is deploying Agentic AI using Databricks AI/BI Genie and Agent Bricks to build domain aware data agents on trusted, governed data products. These agents automate high-friction workflows across marketing, field effectiveness and brand performance, cutting time to insight by over 50% and enabling faster, more consistent decisions. We will share Merck’s blueprint for building context-rich data products, embedding business semantics and orchestrating agent workflows that integrate with existing BI—offering a practical, scalable architecture for Agentic AI in pharma.