He is the winner of the 2018 Dantzig Prize of the Society of Industrial and Applied Mathematics and the Mathematical Optimization Society. J. Fan, A. Ruszczyński, Risk measurement and risk-averse ...

Once seen mainly as a way to mitigate risk, employee wellbeing is now recognized as a strategic priority essential for enhancing performance and supporting business success. This shift represents ...

The field of insurance risk management is undergoing a major transformation, thanks to advancements in data analytics. Rakesh Maltumkar, an industry expert, explores how machine learning, natural ...

The Ackley function is widely used for testing optimization algorithms. In its two-dimensional form, as shown in the plot above, it is characterized by a nearly flat outer region, and a large hole at ...

It can involve lean manufacturing, process automation and energy optimization, and should be supportive to relevant safety and risk management techniques. The application of the graded approach, one ...

The AI-based risk control algorithm models enable dynamic risk identification and adjustment. Adaptive strategy optimization allows for flexible responses to complex and changing risk situations ...

Semrush’s AI Optimization puts marketers back in control, turning AI search from an unpredictable risk into a strategic asset,” said Marcus Tober, SVP of Enterprise Solutions at Semrush.