We’re moving into an era of semantic engines – it’s the pivot!
All these data management practices were always well intentioned, but the biggest challenge has always been humans – the complexity of relationships and how they express themselves inside an organization. What’s changing now is that we’re moving into an AI space where that gap is being bridged, because you can finally see clear value in these activities.
What happens when data governance, AI, and enterprise reality collide?
In this episode of Data Enablers, James, Data Officer at Schroders to unpack why well-intentioned data practices often struggle at scale - and why that’s starting to change. From human bottlenecks and slow governance cycles to the shift from semantic layers to semantic engines, the conversation explores how organizations are rethinking data products, ownership, consumption, and ROI.
You’ll hear
- Why trusted data is no longer a hygiene practice
- How business use cases are driving right-to-left data strategies
- And why consumption, not creation, is becoming the real measure of success.
Along the way, we touch on culture, leadership, regulation, and what it truly takes to make data usable across the enterprise.
This is a conversation beyond tools.
It’s about the operating models and mindset shifts quietly reshaping how data and AI deliver value.
