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

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

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.

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 ...