In this moment, excerpted from the session “Creating a Data Strategy and Framework for AI Readiness,” Michael Simms, VP Data & AI, Columbus, describes how incorporating AI creates repeatable processes, thus improving decision-making across a variety of industries.
Key Takeaways
- Decision-making: Inaccurate data opens the potential to make bad decisions. Automating financial forecasting, for instance, can help with making better decisions faster, as it’s a repeatable process that won’t have many data issues.
- Key benefits: Adaptability and learning are benefits of AI tools. If the data or the composition has changed, that can be reflected in the model.
- Industry cases: Simms names industry examples of how AI is helping. He notes specific use cases in the medical field.
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