Explore how prediction markets work, their types, real-world applications, and the benefits they offer in forecasting events ...

In the words of famous people such as Nobel laureate Neils Bohr and baseball legend Yogi Berra, predictions are very difficult, especially if they’re about the future. In this special Breaking ...

Prediction markets like Kalshi and Polymarket have surged in popularity. While some trading firms are actively using the platforms, hedge funds are mostly interested in their data. Dysrupt Labs in ...

This, of course, couldn’t be further from the truth, as AI has no capacity to learn anything and to derive answers, recommendations, or conclusions that exceed the scope of the data it was trained on.

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. The accuracy of revenue forecasts provided by Wall Street analysts ...

Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...

Utilization, healthcare expenditures, and patient costs of definitive treatment modalities for localized prostate cancer in the United States. This is an ASCO Meeting Abstract from the 2025 ASCO ...

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...

How data-driven asset management is helping utilities and industrial operators move from reactive firefighting to predictive, ...