Databricks launches Data Intelligence Platform for Energy, bringing GenAI capabilities to the Australian energy sector
Databricks, the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of Artificial Intelligence (AI) to data and people across the energy sector.
Built on an open lakehouse architecture, Databricks’ Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP. Energy leaders gain a holistic view into their operations in real-time to preemptively address maintenance needs, reduce unplanned downtime, accurately forecast energy generation, and take action for a more efficient, sustainable future.
“Australia has a rich ecosystem of energy players, all standing at a pivotal moment as the country transitions toward diversified energy sources,” said Adam Beavis, VP and ANZ Country Manager at Databricks. “The new Data Intelligence Platform has been purpose-built for the unique needs of the energy industry, enabling ANZ players to not only tackle regional challenges to effective energy management but also contribute to the global effort in driving data-driven innovation in the industry.”
With the Data Intelligence Platform for Energy, customers can democratise data access to their entire organisation by delivering the full value of asset, operations, environmental, and customer data to optimise energy infrastructure and mitigate volatility. Databricks has been adopted by industry-leading organisations such as the Australian Energy Market Operator (AEMO), Alinta Energy, Chevron Phillips Chemical, Cosmo Energy, Octopus Energy, Shell, TotalEnergies, Wood Mackenzie, and more.
“As one of the country’s leading power generators and retailers, meeting the energy needs of more than 1 million Australians, Alinta Energy understands the importance of quality data to support decision-making and operations. The Alinta Data Hub, powered by Databricks, is a strategic pillar for Alinta’s operations, providing a single source of information for the company, our customers, and regulators. Its access to accurate, up-to-the-minute data, allows Alinta to understand our position in the market, the needs of our customers and also provides regulators with clarity about the efficient and fair operation of the sector. Looking ahead, we’re excited to begin the journey to leverage GenAI responsibly and at scale. This will be greatly accelerated by our mature investment in the secure and governed lakehouse architecture and the extensive AI capabilities now available in Databricks Data Intelligence Platform,” said Brad Walker, General Manager for Data and AI, Alinta Energy.
“Databricks is the backbone of our petabytes-scale enterprise data platform. In our experience, Databricks has demonstrated remarkable agility in its product iteration to address the latest challenges in the data and AI domain. The customer service has been consistently supportive, which played a crucial role in our Enterprise data services improvement process. Furthermore, Unity Catalog has been instrumental in facilitating a data centre of excellence model within our organisation. Databricks is pivotal in our organisation’s strategic data roadmap,” said Christopher Tao, Manager, Data Management, Enterprise Data Services, AEMO.
“Embracing Databricks has been transformative for our organisation’s digital transformation—it’s the engine that powers our data-driven innovation for asset operations,” said Dan Jeavons, Vice President of Digital Innovation at Shell. “With Databricks, we’ve accelerated our data analytics and AI capabilities, helping to unlock real-time insights that drive strategic decisions and create process improvements, cost reductions, and production increases across our business.”
Databricks delivers an open, flexible data and AI platform. With powerful tools and partners, Databricks’ Data Intelligence Platform for Energy enables customers across the energy sector to tackle critical challenges in the industry, including:
- Real-time asset performance management and maintenance: Organisations can gather, analyse, and visualise vast amounts of sensor data from every physical asset — wind turbines, grids, pipelines, and machinery — to monitor and optimise performance in real-time, reduce downtime, and enhance overall operational efficiency.
- Accurate, efficient renewable energy forecasting: Customers can minimise forecasting uncertainty and the unpredictable nature of wind, solar and hydropower sources with sophisticated predictive capabilities powered by machine learning (ML). By integrating weather forecasts, performance data, pricing trends and demand projections on a unified platform, the energy sector can more accurately manage demand and enhance resource allocation to maximise profitability in a volatile market.
- A proactive, predictive approach to grid optimisation: With the deployment of Advanced Metering Infrastructure (AMI), utilities can leverage advanced analytics and predictive modelling to gain real-time visibility into grid conditions. The Data Intelligence Platform for Energy enables companies to better forecast load, predict outages and balance supply and demand, reducing transmission losses, and improving overall grid reliability and resilience.
“Successful energy companies will set themselves apart by leveraging data, analytics and AI in novel ways to simultaneously minimise the risk of their strategies and tap new opportunities enabled by the energy transition,” said Shiv Trisal, Global Industry Leader for Energy and Manufacturing at Databricks. “This requires a different approach towards data intelligence that puts the power of AI in the hands of every user regardless of technical ability, allowing them to unlock unique insights from the company’s full knowledge base and data to power new innovations and shape a smarter, reliable and sustainable energy system for all.”
