Explore the evolution from traditional to AI-autonomous data governance, with real-world insights from DataHub customers.
talk-data.com
Speaker
Andrew Mohammed
2
talks
Andrew Mohammed is the Director, Data & AI at OVO Energy, driving innovative AI strategies to enhance customer experience, operational efficiency, and energy transition initiatives. With deep expertise in generative AI and machine learning, he has successfully scaled transformative solutions such as AI-driven virtual assistants. Andrew previously served as Head of Data Science at OVO and held key leadership roles at Lloyds Banking Group and EDF Energy. Committed to responsible AI practices, he co-founded OVO’s AI council. Andrew holds an MSc in Quantitative Finance from the University of Reading.
Bio from: Big Data LDN 2025
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Talks & appearances
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As AI reshapes every aspect of data management, organizations worldwide are witnessing a fundamental transformation in how data governance operates. This panel discussion, hosted by DataHub, brings together two forward-thinking customers to explore the revolutionary journey from traditional governance models to AI-autonomous systems. Our expert panelists will share real-world experiences navigating the four critical stages of this evolution: AI-assisted governance, where machine learning augments human decision-making; AI-driven governance, where algorithms actively guide policy enforcement; AI-run governance, where systems independently execute complex workflows; and ultimately, AI-autonomous governance, where intelligent systems self-manage and continuously optimize data stewardship processes. Through candid discussions of implementation challenges, measurable outcomes, and strategic insights, attendees will gain practical understanding of how leading organizations are preparing for this transformative shift. The session will address key questions around trust, accountability, and the changing role of data professionals in an increasingly automated governance landscape, providing actionable guidance for organizations at any stage of their AI governance journey.