What risk managers need to know about AI governance

What risk managers need to know about AI governance

Jan 22, 2021

As more businesses begin to realize the full potential of AI to deliver business results from their data, they're starting to bump up against their ability to manage it all.

As the amount of data and number of models grow, organizations can accrue significant technical debt. Chief risk officers (CROs) and model risk managers can be left asking themselves, "Do I spend more to keep up with model demand, or do I accept more risk?"

In this whitepaper, H.P. Bunaes, founder of AI Powered Banking, shares why you need a new framework to manage your AI governance—and how to put it into place at your organization.

As more businesses begin to realize the full potential of AI to deliver business results from their data, they're starting to bump up against their ability to manage it all.

As the amount of data and number of models grow, organizations can accrue significant technical debt. Chief risk officers (CROs) and model risk managers can be left asking themselves, "Do I spend more to keep up with model demand, or do I accept more risk?"

In this whitepaper, H.P. Bunaes, founder of AI Powered Banking, shares why you need a new framework to manage your AI governance—and how to put it into place at your organization.

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