Former Bank of Japan official, PhD in Mathematics from the University of Tokyo, and former Chief Interest Rate Strategist at ...

For decades, improving the accuracy of track forecasts for dangerous hurricanes like Isaias plodded along at a slow and steady pace. Improvement in intensity forecasting was even slower. People in ...

"Even with Prophet, the prediction accuracy for all car models doesn't improve!"I once heard that voice from the seat next to me at work.Prophet is a time-series forecasting model released by Meta ...

Data scientists and technologists responsible for data governance, engineering, and integration should look for opportunities to use data analytics and AI for strategic decision-making. Finance, ...

As we close out 2025 and look toward 2026, CFOs of wholesale and trade organizations face a pivotal moment. The old modus operandi — static annual plans, spreadsheet-bound modelling, reactive decision ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...

During an epidemic, some of the most critical questions for healthcare decision-makers are the hardest ones to answer: When will the epidemic peak, how many people will need treatment at once and how ...

As a hotelier, you’ll know the frustration: you build a forecast you trust only to see actual results veer wildly off course. Rooms go unsold because demand was overestimated or staff are stretched ...

Prediction markets, like Polymarket and Kalshi, tended to agree. On the morning of Nov. 3, online bettors had given Ms.