Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...
In what ways can Artificial Intelligence help the work of police personnel? What are some possible risks and pitfalls of this ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...
From Reactive Response to Predictive Defense: How Utilities Are Using Drones to Reduce Wildfire Risk
Utilities are using drones to shift from reactive vegetation management to predictive wildfire risk mitigation and grid resilience.
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
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 ...
In recent years, the avalanche of cyberattacks and the sophistication of intrusion techniques have challenged traditional defense models. Classic Security Information and Event Management (SIEM) tools ...
Data analytics help investors analyze investment data for better decision-making. Descriptive, diagnostic, predictive, and prescriptive analytics offer varied insights. Techniques like regression and ...
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