The Fed paper found that Kalshi's markets provide data that's "valuable to both researchers and policymakers." ...

A key part of market analysis is predicting what market position your company will occupy in the future. Combining forecasting and analysis techniques allows you to determine how the market is going ...

A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

Demand forecasting might be simple in stable environments where the future very closely resembles the past. Most small business owners learn early on, however, that the future rarely replicates the ...

Alongside accounting basics, understanding the different financial forecasting models and how to implement the model that’s right for your startup’s business plan is absolutely essential. Neither is ...

The accuracy of weather forecasts produced by AI models beat meteorologists’ contemporary methods. But how they work is a bit ...

At the same time, next-generation agile forecasting methods must be validated carefully before they are employed and must be audited afterward. Understanding and capitalizing on new business ...

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...