For the UK after Brexit, it is tempting to imagine that regulation no longer comes from Brussels. Yet one of the most ...

They want faster routes to market, more control over their merchant relationships, and the ability to unlock new revenue ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

New AI-powered execution layer helps retailers query inventory and act in real time as retail margin pressure, labour ...

Department of Business and Sustainability, European Center for Risk and Resilience Studies, Syddansk Universitet, Esbjerg, Denmark The utility of process-based crop models in agricultural risk ...

Accurate simulation of crop growth processes for predicting final yield is critical for optimizing resource management, particularly in regions with variable climates and limited resource availability ...

Abstract: Prescriptive Process Monitoring (PresPM) is the subfield of Process Mining that focuses on optimizing processes through real-time interventions based on event log data. Evaluating PresPM ...

Maturity models are helpful tools to assess and improve the performance of processes, people or objects. While various guidelines supporting the design of these models exist, they mainly remain ...

The process industry, characterized by continuous, large-scale production, is vital to modern manufacturing. In recent years, integrating big data and artificial intelligence (AI) into process ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

Reasoning with LLMs can benefit from utilizing more test compute, which depends on high-quality process reward models (PRMs) to select promising paths for search or ranking. PRMs score ...