The first Kural Press title
Commercial Pharma Data Strategy and Architecture
Every pharma company wants AI. Few have built the data foundation to make it work.
Building the AI-Ready Foundation
This book is a practitioner’s blueprint for turning fragmented commercial data into trusted, governed, AI-ready intelligence.
✓The semantic layer and why AI needs business definitions made durable in code.
✓Data products, knowledge layers, HCP identity, territory, geography, and governance.
✓Use cases across conversational analytics, agentic AI, personalization, market access, and medical affairs.
What you’ll learn
Why AI pilots fail
The gap between a great demo and production deployment is usually a data architecture gap.
How to build the foundation
Semantic layers, governed data products, and knowledge layers that AI systems can safely consume.
How to sequence investment
A practical roadmap for moving from fragmented data to AI-enabled commercial operations.