Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the business unit’s performance. This wasn’t achieved through a single ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Cloud Pak for Data Systems keeps your sensitive information safe with strong security measures, like encryption and access ...

In many AI applications, being “mostly right” is acceptable. Industrial equipment is not one of them. Here, machines are ...

Data analytics has emerged as a leading use case for AI in the business setting. Research shows that 43% of organisations ...

IoT robotics is a step closer to everday reality thanks to a new partnership between Hexagon Robotics and Microsoft.

Companies collect data for years in hopes of someday making use of it. With gen AI, the time has come, but the hard work is ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Discover the new playbook for building a hybrid-first startup in 2026, with practical strategies for scaling from 5 to 50 employees while maintaining culture, productivity, and agility.