S7 | Ep 17 | Data Management: The AI Boom's Biggest Winner with Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group
In Episode 17 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Joanne Riseborough, Group Data Management and Culture Director at Lloyds Banking Group, where they discuss why the AI boom has quietly made data management one of the most strategically important disciplines in the boardroom.
They explore why AI is shining a spotlight on data quality, governance and culture, how large enterprises balance modernisation with legacy technology, and why organisations that invest in strong data foundations will be best positioned to realise meaningful value from AI.
They also discuss:
- Why AI has made data management more important than ever.
- Why data quality has moved back onto the boardroom agenda.
- How organisations should define what "good enough" actually means.
- What data quality should actually be measured against.
- How large enterprises balance modernisation whilst continuing to operate critical legacy platforms.
- The unique data management challenges created by hybrid cloud and on-premise environments.
- How data culture influences the success or failure of AI adoption.
- Why data and AI literacy is becoming a strategic capability rather than a technical nice-to-have.
- How Lloyds Banking Group is building capability through education, practitioner communities and leadership development.
- Why executive sponsorship remains one of the strongest predictors of successful AI transformation.
- How organisations should balance fixing today's problems whilst investing in tomorrow's capabilities.
- Why continuous monitoring and data observability will become fundamental components of modern data management.
- How reusable data products can accelerate both governance and AI adoption.
- Why organisations should think about both data for AI and AI for data.
- Why responsible AI starts with trusted data, lineage and governance rather than model oversight alone.
- How central strategy and standards can successfully coexist with federated ownership and delivery.
- Why organisations should assess their data maturity before accelerating AI ambitions.
- Why the strongest AI strategies are built on strong data foundations rather than stronger AI models.
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