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 ...

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, ...

Community health outcomes significantly impact older populations' wellbeing and quality of life. Traditional analytical methods often struggle to accurately predict health risks at the community level ...

Most healthcare professionals in Asia-Pacific now recognise the necessity of adopting AI technologies to complement care delivery, foster clinical and operational efficiency, and improve equitable ...