Archive for July, 2024
Originally published in Forbes, June 11, 2024. If you’ve ever had a data scientist make a machine learning model for you, you probably first experienced excitement, followed by bewilderment. The potential power is awesome. In its enterprise application, predictive AI is the antidote to information overload. Too many prospective customers? Use a predictive model to prioritize them
By: Betsy Vereckey
Originally published in MIT Management, September 19, 2023. Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. What if we told you there was a new financial forecasting model...
By Emily Cerf
Originally published in US Santa Cruz NEWSCENTER, February 12, 2024 New research indicates that methods used to test the accuracy of link prediction are flawed, and that link prediction does not work as well as common benchmarking...
By David Cahn
Originally published in Sequoia Stories, June 20, 2024. The AI bubble is reaching a tipping point. Navigating what comes next will be essential. In September 2023, I published AI’s $200B Question. The goal of the piece was...
Originally published in Forbes, March 4, 2024. Which kind of AI should companies focus on—generative AI, which produces writing, computer code, images, video and other content, or predictive AI, which targets ads, marketing, fraud detection, risk management,...
