Unveiling the Power of AI in GRC: A Practical Guide
Artificial intelligence can be overwhelming. Filter through the hype to pinpoint truly transformative features.
The term AI covers logistic regression, decision trees, and other familiar foundational approaches, as well as computer vision, expansive language models, and other groundbreaking technology. Risk managers can apply this spectrum of technology to fortify GRC frameworks and transform work processes to stay in front of rapidly evolving risks.
Riskonnect’s Kim Alderman, director, AI innovations lab, and Sherry Dillon, vice president of product management, explore how and when AI tools can enhance the value of your GRC program.
You’ll learn about:
- Practical approaches to evaluate potential AI use cases
- Considerations for model opacity, sustainability, and regulatory implications
- The impact of AI within your risk management program
- Strategic steps to prepare for AI innovation in GRC
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