Originally published in Forbes, September 30, 2024 This is the third 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. It’s an established practice, yet it still hasn’t been standardized. Predictive AI has been improving enterprise operations for decades, but […]

 Originally published in Forbes, August 27, 2024 This is the second 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. Man, I wish I had a magic crystal ball. That would be handy. Fortunately, we do have the next best […]

 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 business problems are best addressed with generative AI. For some, prediction is the solution. Take misinformation detection. Imagine […]

 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 aren’t just optimizing models and streamlining business. You’re governing. In effect, ML models embody and implement policies that […]

 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 particular, but it does not consistently identify any specific technology, cohesive idea or agreed-upon value proposition. While some […]

1 month ago
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions

By: Eric Siegel, Machine Learning Week

 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 fraud, such a system needs someone to tell it which historic transactions were OK, and which were not. […]