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 ...

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 methods is ...

Anthropic has seen its fair share of AI models behaving strangely. However, a recent paper details an instance where an AI model turned “evil” during an ordinary training setup. A situation with a ...

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 ...

The DeepSeek model is currently available on GitHub Within 24 hours of release, it has received over 6K likes The model turns text into pixels to improve its context memory ...

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 ...