MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

Today, the integration of predictive, patient-level data presents a defining opportunity to elevate population health management. By shifting focus toward individualized risk assessments, healthcare ...

The current CRM scene keeps advancing at a rapid pace, with innovative companies now leaning toward options combining ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

This article was originally published by Data-Smart City Solutions. Governments today operate in an increasingly complex world, reflected in the volume and ubiquity of data produced by citizens and ...

The 2025 holiday season is already shaping up to be like no other. Inflation, tariffs and rising political tensions are all weighing heavily on consumer confidence. Retailers are questioning whether ...

The use of analytic tools to predict student performance is exploding in higher education, and experts say the tools show even more promise for K-12 schools, in everything from teacher placement to ...

Cybersecurity experts and analysts are constantly trying to keep pace with changes and trends in the volatile and ever-shifting landscape of IT security. Machine-learning-powered solutions have ...

Utilities are using drones to shift from reactive vegetation management to predictive wildfire risk mitigation and grid resilience.