Decision-makers often confuse quantifiable risk, where outcomes can be assigned probabilities, with true uncertainty, where unpredictable ‘unknown unknowns’ dominate. While AI excels at analyzing and managing risk, it fundamentally cannot grasp the intangible and genuinely uncertain aspects of business. Therefore, human judgment and adaptability remain indispensable for navigating the truly novel and making strategic decisions beyond algorithmic logic. Read more

Short post looking at the importance of the right attitude when building complex software including machine learning. Read more

MLOps could act a major catalyst of your organisation transformation - here are a few reasons why. Read more

MLOps evolved from the challenges of deploying machine learning models, transforming ML from isolated experiments into scalable, reliable business solutions. Inspired by DevOps, it automates data pipelines, version control, and monitoring, ensuring that AI systems remain efficient, reproducible, and valuable at scale. 🚀 Read more

Artificial Intelligence or A.I. wakens mixed feeling in most of us. These two words combined, do generate massive amounts of misunderstanding as many use them with different meanings and intentions. Read more

Bringing value with AI doesn’t work if you think in a box. Cross-discipline approaches are here to help. Read more