The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

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

An information technology expert, Olufemi Ariyo, has proposed the deployment of integrated, data-driven, and people-centric technology systems as a practical solution to Nigeria's lingering security ...

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

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The Philippines is entering a decisive era in its digital journey. As the nation pushes forward with its ambitions for a more ...

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

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

Abstract: Our interest in obtaining predictive models from vast volumes of data has never been greater. Often, we want these models to be as simple as possible but not simpler. Reducing the complexity ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...