For most of the generative AI cycle, AI products were essentially chat interfaces. You opened a window, asked a question, and the model replied. In that world, the obvious path to improvement was waiting for a better model. Better reasoning, larger context windows and stronger instruction-following all translated directly into a better user experience. That…
Most organisations don’t get to start with a blank slate. A full migration from a legacy data platform to Fabric is a significant commitment, and often the appetite simply isn’t there yet. So how do you start getting value from Fabric today, without waiting for a migration that may never come? Why integrate Fabric into your legacy platform? Fabric can deliver on the following without migrating your existing platform: Improve data engineer productivity with modern,…
Every BI team eventually faces the same question from their users: “Where does this data actually come from?” When users can’t answer that, they get frustrated, and their work is delayed when they feel they must stop and check someone else’s work. And (a BI Dev’s worst nightmare), they’ll think in the back of their…
Utilities have spent decades building reliable Geographic Information Systems (GIS) as systems of record to capture assets as they exist in the field. These GIS platforms are highly effective in supporting operational monitoring and day-to-day management of the network. However, modern grid management now requires grid-level analysis across connected assets, not just operational reporting. They…
1. Databricks Genie Powers Industry Solutions Why we picked this: Pinned as priority: published by Databricks (priority topic for our team). What happened. Databricks Genie provides a conversational analytics layer, allowing users to ask natural language questions and receive governed answers. Partner solutions, such as Blueprint Technologies’ Telco Churn and Next Best Action, and…
Why property is primed for AI, and why most efforts stall Property operators in 2026 are not short of data. Buildings generate it continuously: maintenance requests, lease events, utility readings, inspection records, contractor updates, compliance obligations. The problem is rarely volume. The problem is that this data sits across disconnected systems, reconciled manually, and rarely…
Being part of the modern energy market comes with huge challenges. It is not about managing a few centralised energy sources and providing power in one direction anymore, the network is decentralised in millions of Distributed Energy Resources, renewables, rooftop solar panels, home batteries and electric vehicles. Energy flows in two ways: scalable cloud computing…
Energy leaders don’t get the luxury of treating AI as a novelty. In most industries, an AI pilot that disappoints is an inconvenience. In energy, a poorly governed AI system can create real operational risk: incorrect decisions, fragile compliance processes, and loss of stakeholder trust. The most valuable question this year isn’t “What model should…
Data is everywhere but turning it into something useful isn’t always simple. Each new feed often means more scripts, more fixes, and more waiting — leaving teams with messy, slow-to-adapt pipelines. One51’s Data Onboarding Framework, powered by Snowflake Intelligence, changes that. It provides a simple, reusable path from cloud storage to the presentation layer, delivering…
Investment teams are under growing pressure to deliver timely, accurate, and personalised reporting to their customers. Yet for many organisations, the process behind these reports is still heavily manual. Data must be extracted from operational source systems, calculations run in spreadsheets, and visuals assembled for one customer at a time. It’s slow, resource intensive, and…