Masood Alam

Chief Data Architect The Scottish Government

Masood Alam is a leading voice in data & AI strategy and digital transformation, with over 18 years of experience at the intersection of data architecture, artificial intelligence, and enterprise IT. He is the author of The Data Revolution, a widely respected book that explores how organisations can unlock the true value of data through modern architecture, intelligent automation, and a culture of innovation. Masood currently serves as Chief Data Architect, where he leads large-scale transformation programmes across government and industry-enabling secure, scalable, and AI-ready data platforms. His technical expertise spans cloud-native ecosystems (AWS, Azure, GCP), data governance automation, metadata-driven discovery, and AI/ML implementation. Beyond his leadership roles, Masood is passionate about mentoring the next generation of data professionals and regularly shares insights through speaking engagements, writing, and community initiatives. At the heart of his mission is a belief that data should not be a barrier - it should be a catalyst. Whether working with public sector bodies or global enterprises, he helps organisations rethink their relationship with data, putting people and purpose at the centre.

Responsible AI Summit Main Conference Day 2 - Wednesday 24 September

11:00 AM Presentation – Engineering “Talk to Data”: Building Semantic Foundations for Responsible AI at National Scale

As AI adoption grows, so does the need for machines—and humans—to understand data in context. In the Scottish Government, Masood and the Digital Directorate’s technical team are architecting the data foundations that make responsible, explainable AI possible. This session explores the hands-on work behind enabling AI systems to interact with public sector data through intelligent tagging, synonym resolution, and semantic modelling. Learn how knowledge graphs, metadata enrichment, and NLP interfaces are unlocking scalable, governed access to complex datasets—without compromising on accountability.

·       Architecting semantic layers using knowledge graphs to power explainability and data lineage

·       Automating tagging, classification, and synonym resolution across siloed, federated data sources

·       Enabling NLP-driven “talk to data” interfaces to widen access without exposing risk

Check out the incredible speaker line-up to see who will be joining Masood.

Download The Latest Agenda