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Whitepaper

What risk managers need to know about AI governance

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.

Use this report to:

What risk managers need to know about AI governance

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.

Illustration of a risk manager trying to stop dominoes from falling. The illustration is set against a dark purple background

Read this whitepaper to:

  • Understand the latest governance challenges that risk managers face.
  • Discover the 7 steps to put an effective governance strategy in place.
  • Learn how to implement a better governance strategy with Algorithmia.