Adrian Estala

As organisations intensify their investment in AI, many still face familiar challenges: fragmented architectures, governance constraints, and business teams unable to access the data they need at the pace the business demands. In this session, Adrian Estala, CDAIO at Starburst, will outline how leading enterprises are overcoming these hurdles by adopting a business-centric semantic layer built on logical, federated data products—without the disruption of large-scale migrations or centralised rebuilds. You’ll hear how data and analytics leaders are:

• Enabling true self-service for business users through governed, reusable data products
• Reducing costs and accelerating time-to-value by reusing trusted components for emerging AI initiatives.
• Supporting rapid experimentation across domains with data that aligns to real business outcomes.
• Simplifying legacy complexity to speed up both BI and AI delivery.
• Embedding scalable, policy-driven governance throughout the entire data product lifecycle.