The rise of Generative AI has rendered the old AI Factory model obsolete, shifting the focus from mass-producing algorithms to architecting unique, high-value business solutions. This new paradigm introduces the AI Value Architect, a strategic partner who orchestrates an Intelligence Trifecta of specialized roles: the Data Flow Architect, AI Behavior Architect, and AI Product Engineer. Working in a continuous, dynamic cycle, these roles collaborate to transform business processes and deliver a quantifiable return on intelligence. Read more

Deconstructs the cloud by tracing the journey from physical server racks and networking up through layers of virtualization, containerization, and orchestration. It explains how management and control planes work together to translate user requests into running applications, ultimately delivering seamless managed services that hide this underlying complexity. Read more

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