Podcast: Why You Need a Working Knowledge of AI
Skip to content
Take the Kellogg Insight Reader Survey
Data Analytics Dec 13, 2021

Podcast: Why You Need a Working Knowledge of AI

Business leaders can’t rely solely on data scientists to get the job done. Learn more on this episode of The Insightful Leader.

Based on the research and insights of

Eric T. Anderson

Listening: Why You Need a Working Knowledge of AI
0:00 Skip back button Play Skip forward button 13:39

What do Watermelon Oreos and Cheetos lip balm have in common? A customer you don’t want.

Add Insight
to your inbox.

Using artificial intelligence, marketing professor Eric Anderson and a team of researchers learned that fans of these ultimately doomed products were “harbingers of failure,” in that they tended to really like items that were later discontinued. The fine print for businesses: you don’t want your product to be in their shopping carts.

This is the kind of insight that AI and analytics can bring to bear, but getting there isn’t as easy as pressing a button or hiring data scientists, Anderson says.

“Business leaders need what’s called a ‘working knowledge’ of data science,” Anderson says.

On this episode of The Insightful Leader, we learn how business leaders can get the most out of these tools.

Note: The Insightful Leader is produced for the ear and not meant to be read as a transcript. We encourage you to listen to the audio version above. However, a transcript of this episode is available here.

Featured Faculty

Polk Bros. Chair in Retailing; Professor of Marketing; Director Kellogg-McCormick MBAi

Suggested For You
Most Popular

Democracies may not outlast dictatorships, but they adapt better.

Hint: it’s not the product itself.

Most Popular Podcasts

Coworkers can make us crazy. Here’s how to handle tough situations.

Plus: Four questions to consider before becoming a social-impact entrepreneur.

Finding and nurturing high performers isn’t easy, but it pays off.

A Broadway songwriter and a marketing professor discuss the connection between our favorite tunes and how they make us feel.

More in Data Analytics