Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

The biopharma industry has been notoriously cautious and slow to adopt new technologies, not least because it is a strictly regulated space and the sector has built up long-standing, well-established ...

When applied as part of a structured approach, predictive modelling can provide deep process and product understanding, and can enable true, continuous process validation as envisioned by ICH ...

The ecommerce footwear segment across the globe is expected to reach $398.40 billion, growing at a CAGR of 3.4%, according to a report on Statista. As ecommerce continues to thrive, so does the need ...

In recent years, funding cuts, staff shortages and a lack of end-to-end digital transformation have placed an inordinate amount of pressure on public sector organizations and the services they provide ...

Technological transformation, increased data availability, and growing recognition of its potential across industries has led to the popularity of data analytics. Big data refers to the vast volume of ...

Large language models are potentially potent instruments for businesses. Phillip Sewell examines how they can help with predictive insights. Smart data professionals understand that the ability to ...

Predictive modelling involves using a model of a process, usually a computer model, to predict a likely outcome. Model predictive control (MPC) takes this further and uses a dynamic model to calculate ...

US ‘Solar Module Super League’ (SMSL) member First Solar has sold a predictive energy modelling tool called PlantPredict to solar digital solutions start-up Terabase Energy for an undisclosed amount.