The Convergence of AI and Data Management
AI And Data Management Were Always Two Separate Conversations. Why Can That No Longer Work?
“Successful change in AI won’t be led by IT, but it needs to be seen as a business transformation led by the operational leaders thinking about how do we want the business to operate.”
David Doherty, Consultant, CIO and Technology Advisor
You’ll hear
- Why AI cannot scale without strong data management and why data management itself is being reshaped by AI.
- Why so many AI initiatives look compelling in the pilot but struggle when organisations try to take them into production at scale.
- Why governance is no longer a control issue but a growth issue and what a positive feedback loop of governance actually looks like in practice.
- Whether AI ready data management should be centralised or domain led and why the answer depends on where you sit in the business.
Episode Insight
The Biggest Mistake Organisations Are Making In AI Today Is Treating It As An IT Led Experiment Rather Than A Business Led Transformation.
As David Highlights, The Question Is No Longer What Can AI Do For Us. It Is How Do We Make It Work, How Is It Reliable, And How Do We Scale It Inside The Business. The Organisations Getting This Right Are The Ones Who Have Stopped Asking How Do We Deploy AI And Started Asking How Do We Build A Trusted, AI Ready Enterprise Around The Knowledge And Information The Business Depends On Every Day.
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About The Speakers

David Doherty
Consultant, CIO and Technology Advisor

Raheel Khan
CBO, Edgematics Group