Many organisations have invested heavily in data visibility, governance, and analytics, yet still struggle to build a data foundation they can confidently rely on at AI scale. In fact, just 14% of leaders say their data is AI-ready.
As AI adoption accelerates, expanding use cases and workloads put increasing pressure on organisations’ data foundations, exposing weaknesses in quality, governance, and control. The result is stalled initiatives, rising costs, increasing risk, and a lack of trust in the outcomes.
In this webinar, we’ll explore why traditional, reactive approaches are no longer enough and how organisations can operationalise trusted data across their existing environments.
We’ll also show how Aperture Data Studio helps organisations:
Join us to learn how to build a data foundation that holds up under pressure, enabling reliable AI outcomes and more confident decision-making.
Date: Wednesday 15 July 2026
Time: 10-11am
Director of Product Management, Experian
Antina is a Director of Product at Experian, leading Aperture Data Studio. Her experience spans product and innovation across Experian, Procter & Gamble, HERE Technologies, Verra Mobility, with a focus on helping organisations strengthen the quality, governance, and control of their data to build trusted foundations for better decisioning and AI-ready transformation.
Sr. Product Marketing Manager, Experian
Evan is a Senior Product Marketing Manager at Experian, leading go‑to‑market strategy for Aperture Data Studio and partnerships. With over 15 years of experience including across Capital One, Accenture, and Microsoft’s partner ecosystem, Evan brings a unique blend of data modeling, analytics, and commercial strategy to help organisations unlock real value from AI.
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