From Prompt to Profit: Measuring the Real ROI of Enterprise Generative AI and beware the AI Champion!
As leading Australian Investment Strategist, Hasan Tevfik noted this current reporting season in Australia, AI is being used by organisations in three ways: organisations are benefiting from AI CAPEX, companies are monetising AI by embedding it into their products, and organisations are using AI to drive productivity. At Ignite, we have seen nearly every client […]
Now That You’re on Databricks, Do You Still Need Power BI?
It’s the question we’re hearing most often from data leaders right now: “Now that we’re on Databricks, do we still need Power BI?” On the surface, it sounds like a tooling preference. Underneath, it’s a cost question, and a fair one. Both platforms are moving toward each other. Databricks has added AI/BI Dashboards and Genie; […]
We Built an App That Turns Energy Data Into Action. Here’s How.
The next frontier of data isn’t another dashboard Most energy organisations have invested heavily in data platforms, analytics, machine learning, and, now, AI. Yet many critical business processes still rely on spreadsheets, emails, manual approvals, and disconnected workflows. The gap now isn’t insight. It’s action – the distance between what the data tells you and […]
Stop using the same AI as everyone else: A guide to creating AI advantage
Most organisations right now are asking: Which AI tool should we use? It’s the wrong question. What they should be asking is: “Where does advantage actually come from?” The Commoditisation Problem Nobody’s Talking About Here’s the uncomfortable truth about the current AI gold rush. When your competitors use: the same models the same external data […]
The Breakfast Club: How Ergon Energy Retail continues to use data to grow a competitive edge
Synopsis Business users rarely ask for complex data architecture; they just want fast answers. This article explores how Ergon Energy Retail used Databricks’ Genie AI to close the gap between legacy reporting and real-time insight, allowing their teams to interrogate customer data directly through natural language. Bridging the Reporting Bottleneck: How Ergon moved past the […]
The Breakfast Club: Notes from our panel with Alinta Energy & Squadron Energy
Synopsis While some energy companies are painstakingly unwinding legacy systems, others are building massive greenfield data platforms from scratch to capture the renewables market at pace. This breakdown of the recent Ignite Breakfast Club explores the contrasting strategies of Alinta Energy and Squadron Energy, highlighting how industry leaders are tackling governance, physical asset integration, and […]
Why your data users need NLQ tools and the blueprint for integration
Synopsis Most data platforms don’t fail because of technical flaws. They fail behaviourally. This article explores how Natural Language Querying (NLQ) and tools like Databricks AI/BI Genie are closing that gap from insight to decision by allowing business users to interrogate data directly. The Adoption Gap: Why technical perfection often leads to shadow analysis in […]
Why Technical Perfection Silently Kills Data ROI
Author Mitch De ZylvaSolution Architect In data engineering, there is a dangerous seduction to the perfect architecture. We chase the most elegant or scalable code, the most sophisticated Data Architecture patterns, and 100% test coverage. We build for the ‘99.999% edge case’ before we’ve solved the 80% business reality. But as our team has seen […]
Beyond the Kilowatt Hour: The Value in the Data Behind It
In The Ghost in the Machine, we looked at how the pending Kraken demerger signals something larger than a restructure. AI-driven platforms are redefining how energy businesses interact with customers, turning billing systems into engines of insight and transforming customers from passive users into actual points of presence within the energy system. No longer ghosts […]
The Ghost in the Machine
The announced demerger of the Kraken platform from Octopus Energy is more than a footnote in corporate restructuring. While the strategic rationale for the demerger – unlocking value, enabling neutrality, focusing investment – is clear, this separation signifies a fundamental shift in where value resides within the energy sector. It presents both opportunities for innovation […]