The Hare and the Tortoise? Over the past three decades, the data landscape has changed beyond recognition. Data professionals have moved from solving basic challenges on structured data to operating in an ecosystem of advanced platforms, diverse data types, cloud infrastructures, and powerful analytics tools. Innovation continues at pace teasing business with new possibilities. Yet while innovation generates excitement and disruption, business fundamentals, whilst not wit

Why AI Needs an IA Architect When we think of artificial intelligence, the spotlight usually falls on complex models, clever algorithms, and bold predictions. But there’s a quieter, often-overlooked factor that determines whether AI delivers real value: information architecture (IA). IA is the way data is structured, categorised, and connected. It’s not glamorous, but it’s the scaffolding that allows AI to stand tall. Without it, even the most advanced technology solution

Just as real intelligence comes from having formed beliefs on a knowledge base developed through life Artificial Intelligence requires a reliable knowledge base to learn from. Data products are critical for many AI applications because they represent the essential building blocks for developing intelligent systems. Quite simply without good data foundations AI would not be intelligent at all and would erode business value rather than add to it. This is not to say that busines