Original Content
By: Sam Koslowsky
Universities confront many of the same marketing challenges as corporations. While businesses need to attract potential customers, universities need to entice prospective students. A prospect needs to be converted to a customer, while a potential student needs to enroll at the university. Once you are an active customer, the business needs to maintain and grow
Originally published in Forbes, August 21, 2024 This is the first of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. Not all...
Originally published in Built In, July 12, 2024 When ML has the very real power to gatekeep opportunities from minority groups, employing it properly and ethically should be your number one goal. When you use machine learning, you...
Originally published in Forbes, July 29, 2024 The hottest thing in tech isn’t even a thing at all. Artificial intelligence is nothing but an ill-defined buzzword searching for meaning. The term may sound like it must mean something...
Originally published in The European Business Review, March 21, 2024. The detection of fraudulent credit card transactions is an ideal candidate for the application of machine learning technology. However, in order to learn how to spot attempted...
Originally published in Built In, February 6, 2024. Never sell “AI.” Instead, pitch operational improvements, with no more than a footnote to mention machine learning as part of the solution. Most machine learning leaders focus more on...
Originally published in Forbes, June 29, 2024. Some problems are better solved with predictive AI than with generative AI. To run more effectively, many business operations need prediction more than they need the generation of new content. That’s why predictive...
Originally published in Forbes, July 7, 2024. The National Guard has its work cut out. As first responders to wildfires, floods and other increasingly common catastrophes, Guardsmen must rapidly deploy precisely where needed. This presents one of the...
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
“Nearly half of S&P 500 companies have talked about AI during earnings calls since May , an NBC News analysis of S&P 500 earnings calls found. In fact, AI was mentioned about as often as the Federal...
Originally published in Built In, May 22, 2024. Your biggest operations are made up of many small decisions. Predictive modeling can help you make them. Predictive AI is the technology businesses turn to for boosting the performance...
