[WEBINAR ON-DEMAND] Why Context Engineering Is the Missing Layer in AI Insight

AI can process vast volumes of data. But without the right context, outputs can feel generic, misaligned or difficult to act on.

Without context, even the most advanced models produce outputs that feel plausible, but miss what matters. This session explores why context engineering is becoming the layer that separates noise from real insight.

In this short, practical session, Richard Preedy, will show how you structure, constrain, layer and frame data for more powerful insight

You’ll leave with:

• A clear understanding of the limitations of AI when context is missing, and why data alone is not enough.
• Greater confidence on how structuring, layering and constraining data shapes how AI interprets and responds.
• A view of how small changes in data design can lead to more accurate and actionable insight

This isn’t a product demo. It’s an educational session built on real-world experience, designed for people responsible for growth, brand, or insight strategy.

📅 Wednesday 15th April | 01:00 pm BST