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Five Best Practices to Capture AI Value

Five Best Practices to Capture AI Value turned on Best neon sign

Artificial intelligence has the potential to create substantial business value for organizations, but AI teams often find it challenging to realize and communicate these benefits. Gartner research has found that difficulty measuring AI value and a lack of understanding around AI benefits and uses are top barriers to its implementation. AI technologies are unique in that they can learn and adapt in complex ways, but this can make it hard to predict the performance of AI models. Additionally, AI benefits require business actions, as well as process and behavioral changes, that go beyond the direct control of AI teams. To derive tangible business benefits from AI, organizations need to actively manage and monitor them before, during, and after AI model deployment.

Opinion:

AI is a powerful tool that can provide great value to organizations, but it is important to remember that it is not a silver bullet. AI models can be difficult to predict and the benefits they provide can be hard to attribute. Organizations need to be proactive in managing and monitoring AI models in order to ensure they are getting the most out of them. It is also important to recognize that AI is not a substitute for human intelligence, and that it should be used to augment and improve existing processes, rather than replace them.



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