Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Traders in companies with ties to the president’s eldest son can bet on the outcome of events the president affects.

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

Prediction markets tallied over $700 million in trading volume on Monday, breaking the record set the day before despite an ...

The addition of USD1 will support increased liquidity, deeper user participation, and continued growth across the prediction ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...

Abstract: Demand forecasting for perishable goods has become increasingly critical due to the growing complexity of supply chains and the need to minimize waste. This systematic review focuses on cold ...