The Importance of Monitoring and Assessing Generative AI Use Cases

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The Chief Data and Technology Officer of a large marketing services company emailed about the potential of generative AI within the organization. They prefer a decentralized approach but want to monitor progress. Only 8% of organizations have such systems in production. They suggest keeping an inventory of ongoing projects. They also mention the need to avoid the risk of using public generative models and instead consider partnerships with OpenAI or Google.

New AI technology enables anyone to become a programmer — opening doors to faster analytics and automation but also presenting big challenges. Organizations need policies and strategies to manage the chaos created by what Tom Davenport calls “citizen developers.” Davenport is a professor of management and information technology at Babson College, and he’s been studying how employees are using new AI tools and how companies can both encourage and benefit from this work. He suggests practical ways for team and organizational leaders and IT departments to best oversee these efforts. Davenport is coauthor of the HBR article “We’re All Programmers Now” and the book All-in On AI: How Smart Companies Win Big with Artificial Intelligence.