Thriving in the AI era requires intentional changes to workforce strategies, team skills and vendor relationships.

Data-driven artificial intelligence fault detection has always been a hot topic of research. The lack of historical data on faults due to rotating machinery and equipment operating in a healthy state ...

We propose a new class of neurofuzzy construction algorithms with the aim of maximizing generalization capability specifically for imbalanced data classification problems based on leave-one-out (LOO) ...

A successful operating model for investment managers must be built on a unified platform that seamlessly integrates data management, analytics, decision support, execution and post-trade.

Tirias Research forecasts that on the current course, generative AI data center server infrastructure plus operating costs will exceed $76 billion by 2028, with growth challenging the business ...

Representative classification and segmentation models were trained on 80% of the data. After output binarisation, their derived fracture detection performances as well as that of a standard ...