Databricks, the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of 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.
The transition toward diversified energy sources is driving industry demand for a unified approach to data, analytics, and AI
The energy sector is experiencing a paradigm shift toward a smarter, cleaner and more reliable energy system, with renewables now providing nearly 30 percent of global power. With the Data Intelligence Platform for Energy, customers can democratize data access to their entire organization by delivering the full value of asset, operations, environmental, and customer data to optimize energy infrastructure and mitigate volatility. Databricks has been adopted by industry-leading organizations such as Australian Energy Market Operator (AEMO), Chevron Phillips Chemical, Cosmo Energy, Octopus Energy, Shell, TotalEnergies, Wood Mackenzie, and more.
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“Embracing Databricks has been transformative for our organization’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.”
“Octopus Energy is transforming energy systems through tech, delivering exceptional customer service while bringing bills down for customers. Databricks’ Data Intelligence Platform for Energy plays a key role in this, allowing us to process and analyze large data sets generated by smart meters,” said David Sykes, Head of Data at Octopus Energy. “By gaining deeper insights into customer behavior and energy consumption, we can continue to create innovations and services our customers love so much, and ultimately drive the green energy revolution globally.”
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: Organizations can gather, analyze, and visualize vast amounts of sensor data from every physical asset — wind turbines, grids, pipelines, and machinery — to monitor and optimize performance in real-time, reduce downtime, and enhance overall operational efficiency.
- Accurate, efficient renewable energy forecasting: Customers can minimize 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 maximize profitability in a volatile market.
- A proactive, predictive approach to grid optimization: With the deployment of Advanced Metering Infrastructure (AMI), utilities can leverage advanced analytics and predictive modeling 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 minimize 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.”
SOURCE: PRNewswire