Rewiring Operations: How Infrastructure as Code Enabled a Smarter Energy Network

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…

Data Products as Essential Infrastructure in Modern Energy Organisations

Across the Australian energy sector, the conversation has shifted. It is no longer about whether organisations have data. Most do, in abundance. From SCADA and outage management systems through to billing platforms, market settlements, vegetation management, asset inspections and DER telemetry, the volume and velocity of information continue to grow. The pressure point lies elsewhere.…

The AI releases that will matter to energy businesses in 2026

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…

Making Data Work Smarter with Snowflake

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…

Transforming Investor Reporting with Personalised, Data‑Driven Insights  

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…

Approach for modelling and analysing qualitative and quantitative survey data in Power BI

Survey data is one of the most powerful tools organisations have to measure impact. But when qualitative and quantitative responses sit in a single, wide table, extracting meaningful insight becomes complex. This article a practical approach to modelling and analysing survey data in Microsoft Power BI, demonstrating how a carefully designed star schema and advanced…

AI with Accountability: Responsible Innovation in the Public Sector

Blog Summary Most government AI pilots don’t fail because the technology doesn’t work. They fail because no one can answer: “Who’s accountable when it does?” Public sector leaders face a strategic choice that determines whether AI delivers value or creates risk, governance first, or technology first? Drawing on One51’s experience with complex, regulated environments and…

What OpenAI’s Internal Data Agent Gets Right (And What It Means for Your Business) 

The recent deep dive into OpenAI’s internal data agent from OpenAI has been circulating for good reason. Beyond the impressive engineering and scale, it highlights something far more important: What actually makes AI systems useful inside an organisation. The most interesting takeaway wasn’t the volume of data or the sophistication of the agent. It was…

Turning ESG Reporting into Actionable Insights

What if your ESG report could do more than satisfy regulators? Imagine it becoming the engine that powers smarter decisions, uncovers hidden opportunities, and strengthens resilience. That’s the future of ESG – and it’s happening now. The ESG (Environmental, Social, and Governance) landscape is evolving at lightning speed. For years, organisations treated ESG reporting as…

Generated Assets: Underground Cable

Summary This blog highlights how a major Australian Electrical distributor transformed fragmented GIS data into consolidated, decision-ready assets by leveraging graph processing and spatial analytics in Databricks. The solution accelerates cost-benefit analysis and scales across the entire network. Why It Matters Traditional GIS breaks a single physical cable into multiple segments whenever any installation detail…