Chances are you’re thinking about how best to drive value with AI, analytics, and data in your organization.
In a recent McKinsey survey, half of all executives across sectors said they’d adopted AI in at least one business function. A rising proportion of respondents reported an increase in revenue generated by AI applications.
But making the right investments in AI and broader technologies enabling analytics is about much more than paying for more computing power or hiring a couple of data scientists. It’s about understanding how to make AI and analytics part of a long-term journey for your organization, with focus on solving the right business problems to enable your strategies.
To understand the challenges leaders face in doing that, I spoke to my colleague Eric Anderson, marketing professor and director of the Kellogg McCormick MBAi program. He and Florian Zettelmeyer are the authors of the new book Leading with AI and Analytics, and have trained thousands of executives at major corporations on getting the most from technology-enabled analytics.
This content was originally published here.