There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...

AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

Abstract: This paper focuses on developing a predictive analytics application tailored for the automotive industry. The primary aim is to harness vast quantities of data from vehicle operations and ...

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

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

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

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...

Despite fears of surveillance state activities reminiscent of dark sci-fi stories, police hope predictive analytics developments will help them to manage tight budgets and resources, including to ...

Sci-fi books and movies have imagined a future where police can predict crimes long before artificial intelligence (AI) made it possible. Now, it’s not just a theoretical possibility but a reality, ...