Wiland adds Neural Net modeling to enhance predictive analytics, uncover new audiences, and drive stronger marketing performance.

Industry forecasts predict an annual growth rate of approximately 6% to 7%, driven by advancements in cloud computing, AI, and data engineering . In 2023, the global data analytics market was valued ...

I’m excited to head up the predictive analytics team within the HDR consulting group. However, I’m not sure people know what predictive analytics is, or who does it, or what it’s used for. As HDR’s ...

THK, Inc. developed the OMNI edge as a predictive analytics system. The system uses a secure communications network to analyze periodic real-time data of machine components and perform predictive ...

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...

The construction industry stands at a crossroads. With skilled labor shortages, rising costs, and increasing project complexity, traditional approaches to project management are showing their ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

RapidMiner, an easy-to-use Modern Analytics platform, today announced significant updates to the most comprehensive advanced analytics offering on the market today. In a world where data lakes are ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

Duncan Bain explains why predictive maintenance remains central to the AI agenda for the manufacturing sector.