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

For years, AI and data management were treated as separate priorities. AI was the world of innovation, experimentation and models. Data management was integration, governance and compliance. But that separation no longer works. In this episode of Data Enablers by Edgematics Group, Raheel Khan, chief business officer at Edgematics, sits down with David Doherty, consultant CIO and technology advisor, to unpack what it genuinely takes to build a trusted, AI ready enterprise and why the organisations making the strongest progress are the ones who have already stopped treating data as a technical asset alone.

You’ll hear

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.

Listen Now

About The Speakers

David

David Doherty

Consultant, CIO and Technology Advisor

Raheel

Raheel Khan

CBO, Edgematics Group

Key moments

Resources

Turn Your Data Into Business Value

Customer Centricity. Operational Excellence. Competitive Advantage.

Talk to a Data Expert