Session 4-D

Industry Domain Framework: A Blueprint for Trusted, Connected, and AI-Ready Data Products

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Data & Analytics (D&A) leaders are under growing pressure to deliver business value through trusted, scalable data products while enabling enterprise-wide AI adoption. This session introduces the Industry Domain Framework—a reference architecture that combines data mesh principles, medallion architecture, and decision-driven design to build connected, high-quality domain data products.

The framework aligns data to user personas, key business decisions, and metrics, while establishing a governed, interoperable data foundation. This foundation is critical for accelerating the development of AI/ML models, GenAI solutions, and intelligent agents by providing reliable, context-rich, and reusable data assets.

The session will explore how the framework helps eliminate data silos, increase trust in insights, and scale AI use cases responsibly. It will also address practical challenges such as domain ownership, data governance, and organizational change. D&A leaders will gain a clear, actionable path to drive both data product maturity and AI readiness.

Speaker

Ravi Shankar

Partner – Data Transformation, Tiger Analytics