Is Your Data Ready for AI?

In my previous blog posts, I argued that AI adoption is a transformation program, not a tool deployment. I described the three objectives of a practical AI strategy and the foundations needed to execute that strategy. The first of those foundations is data. Here’s what being AI-ready actually means for your data.   AI is…

How to Capture Chatbot Feedback in Microsoft Copilot Studio with Adaptive Cards

  As conversational AI becomes central to user engagement, capturing granular feedback is crucial for continuous improvement. Microsoft Copilot Studio simplifies chatbot development, but its built-in analytics only operate at the session level. To truly optimise performance, businesses need visibility into how users respond to individual bot messages- and that’s where Adaptive Cards come in. …

Data Enrichment with Spark DataFrames

Is Your Data Telling the Full Story?   You’ve got the data. But is it really giving you the full picture? Often, raw datasets are like puzzle pieces without the box lid – you can see the individual fragments, but not the bigger story. That’s where data enrichment steps in. By adding meaningful context to…