With the recent explosion of AI models and the rapid ongoing innovation in that space, enterprises are trying to make use of the technology to gain a competitive edge. But while base AI models offer general capabilities, they fall short when it comes to deeply understanding proprietary data, workflows, and domain-specific nuances. Enterprises need intelligent agents that capitalize on their most valuable resource – their data. They don’t just need Artificial Intelligence; they need Data Intelligence. This could be for many reasons, including building innovative products, getting quick insights for better decision making, and for improving productivity.

However, the task of augmenting base models with proprietary data is not easy and the path to production remains treacherous. A staggering 90% of enterprise Gen AI projects fail to reach production. Why? The reasons may be familiar…

Operations teams have always been the heartbeat of execution, people who make things happen when strategy meets reality. But in many organisations, their dashboards haven’t evolved.

Leaders still rely on fragmented reporting tools, weekly Excel dumps, and delayed performance insights. The result? Decisions made on stale data and entire teams waiting for “the next refresh.”

It’s time to change that.

This blog explores how organisations can move from manual to autonomous dashboards using Databricks AI/BI Genie, Unity Catalog, and the new Lakehouse-native Dashboards, without depending on third-party tools like Power BI, Tableau, or Palantir.

Because intelligence shouldn’t live in a licence. It should live where your data already does, inside the Lakehouse.

Every organisation, whether managing homes, hospitals, or highways, depends on location. Where things happen shapes why they happen and what we should do next. 

Yet, many teams still treat geospatial data as a specialist discipline locked inside GIS (Geographic Information Systems) tools, accessible to only a few experts This creates silos and delays, when in reality, location is everyone’s business. 

It’s time to bring geospatial intelligence out of the GIS corner and into the Databricks Lakehouse, governed, scalable, and available to every data-driven team. 

With Spatial SQL, Lakeflow, and Unity Catalog, organisations can now turn coordinates into context and context into action, moving beyond static maps to living, real-time insights that evolve with the world.