While the availability of AI tools has removed barriers to entry, it has also increased the risk of misalignment.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

The most promising aspect within this shift is Asset-to-Livelihood Convergence. Instead of creating assets like building a ...

With the National AI Office set to be formally institutionalised as the central coordinating body for strategy and governance ...

Global M&A deal value reached roughly $3.5 trillion in 2024, a 15% jump over the prior year, per Bain & Company. Deal te ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Compare the best prediction markets in 2026. See welcome offers, fees, and sports coverage for Kalshi, Polymarket, OG ...

Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Successful translation of drug response prediction models to the clinic remains limited. Here, the authors introduce a model evaluation pipeline called DrEval, and report that that deep learning ...

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...