Gabor Harsanyi

Head of Data Ericcson

Conference Day 1

2:00 PM Presentation: From Data Chaos to AI that is Auditable, Explainable & Trusted at Scale

AI is accelerating across organisations, but data foundations are not keeping up. Tools multiply, teams move independently, and ownership remains unclear, leaving gaps in metadata, quality, and accountability that quietly undermine trust. Gabor Harsanyi explores the reality inside Ericcson in navigating fragmented platforms and parallel data environments, where instead of slowing innovation with AI, the focus shifted to strengthening metadata, embedding governance into everyday workflows, and making ownership visible across teams.

 Connecting fragmented data sources through practical metadata and catalogue approaches that expose context and ownership

 Embedding governance, privacy, and data quality into workflows so accountability sits with the teams using the data

 Shifting conversations with leadership from AI capability to AI accountability through clear, outcome-led storytelling

3:30 PM Panel Discussion: Maintaining Trust, Security and Control as Data Products, Self Service and AI Scale

As data products, self service access, and AI adoption expand, governance complexity increases significantly. This panel brings together data, governance, and risk leaders to discuss how governance models evolve to support scale, automation, and regulatory pressure while still enabling teams to deliver at pace.

 Scaling governance across products, platforms, and AI workloads

 Aligning data, risk, and compliance teams around shared objectives

 Maintaining trust and control as data usage expands

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