Powering the Future: Data and AI in Action Across the Energy Industry

As global energy demand increases and operations become more complex, energy companies require solutions that can keep pace with the transformation. Data and AI are proving essential, but the companies making the biggest impact are those prioritizing three key pillars: accuracy, flexibility and choice, and governance. The Databricks Data Intelligence Platform for Energy stands at the intersection of these needs, empowering organizations to unify data, accelerate precise decision-making, and maintain strong controls as they modernize.

Let’s look at how energy leaders like Repsol, Italgas, Alinta Energy, TotalEnergies, and OMV are putting these principles into action.

Repsol accelerates real-time decision-making and GenAI adoption

Repsol, a Spanish multinational energy and petrochemical company, is using the Databricks Data Intelligence Platform to scale AI and drive digital transformation across its operations — from exploration and production to emissions reduction and sustainability. By ingesting real-time streaming data from drilling operations and deploying hundreds of models, Repsol can now optimize drilling velocity every five minutes using continuously retrained AI models — helping operators make faster, smarter decisions in the field. The platform has enabled more than 50 GenAI use cases, including AI-assisted software development and real-time production guidance. To support this momentum, Repsol launched a GenAI Center of Competence and a cross-functional responsible AI group to ensure secure, ethical deployment. With Databricks, Repsol is transforming its approach to energy production — boosting efficiency, accelerating innovation, and building a more sustainable future powered by data.

"We leverage Databricks because it helps us to ingest all the data with all the different characteristics of the ground, of the soil, in real time. And it helps us have the most production possible from our operations."— Juan Casado, Chief Digital and Data Officer at Repsol

Italgas transforms customer service and operational efficiency with AI and unified data

Europe’s leading gas distributor since 1837, Italgas, faced mounting customer service challenges — including over 90,000 unresolved complaints in 2023 — due to fragmented data systems and manual processes. By unifying its data architecture on the Databricks Data Intelligence Platform, Italgas eliminated silos, accelerated insight delivery, and empowered 80% of its workforce with real-time, AI-driven self-service analytics. With more than 1,700 pipelines and 150+ dashboards now governed by Unity Catalog, teams across the organization can securely access the insights they need — boosting data performance by 20%, reducing platform costs by 70%, and resolving issues faster. Looking ahead, Italgas is embedding Databricks AI/BI and the Genie Conversation API into customer service and control room applications, enabling operators to ask natural language questions and identify risks in real time — creating a more agile, intelligent utility company ready for the future.

"Databricks is a Swiss Army knife with all the tools we would need - versatile, reliable and capable of addressing our diverse data needs - all while delivering simplicity through unification."— Serena Delli, Lead Data Architect at Italgas

Alinta Energy powers its data transformation and GenAI journey

As one of Australia’s leading energy companies, Alinta Energy has made data a foundational pillar of its long-term strategy — from improving customer journeys to ensuring operational trust and efficiency. With the Databricks Data Intelligence Platform, Alinta has unified its data into a single, governed foundation that empowers teams across the business to extract insights, accelerate decision-making, and drive new actions. After five years of investing in high-quality data infrastructure, the company is now activating GenAI capabilities within Databricks to help teams write better code, answer questions faster, and make data more accessible across the organization. With GenAI becoming the connective tissue between people, platforms, and processes, Alinta is confidently advancing into machine learning, advanced analytics, and the future of intelligent energy operations.

"The Databricks Data Intelligence Platform has been fundamental to our vision for ubiquitous data across the company."— GM, Data and AI at Alinta Energy

TotalEnergies scales AI and accelerates the energy transition

As one of the world’s largest multi-energy companies, TotalEnergies is using data and AI to tackle some of the biggest challenges of the energy transition. With operations in more than 130 countries and millions of time-series data points generated daily from global plants and sensors, the company needed a scalable, cloud-first solution to make this data accessible across the business — not just to data scientists, but to every team across its 100,000+ person workforce. Using the Databricks Data Intelligence Platform, TotalEnergies has deployed over 250 machine learning models and more than 100 applications into production in just three years. Databricks enables TotalEnergies to process massive volumes of legacy and sensor data, accelerate AI adoption, and support smarter energy operations — from predictive maintenance to more efficient production. By democratizing data access and streamlining AI at scale, TotalEnergies is harnessing innovation to meet the world’s growing energy needs while advancing sustainability goals.

"Data should not be only for data scientists, it should be for everybody in the company. Databricks really is the way we process data."— Michel Lutz, Chief Data Officer at TotalEnergies

OMV accelerates sustainable product innovation with GenAI

To support its circular economy goals and sustainable product development initiatives, OMV needed a smarter, faster way to analyze more than 100,000 pages of regulatory and certification documents. By adopting the Databricks Data Intelligence Platform, OMV built a multilingual GenAI assistant using Mosaic AI’s Vector Search and Agent Framework to help business users rapidly synthesize complex EU regulations and product certifications. The result: a 20% reduction in document and web search time, a 20–25x drop in vector search costs, and faster, more confident decision-making. With secure, governed data access through Unity Catalog and a powerful RAG chatbot for internal users, OMV is streamlining operations, empowering sales and compliance teams, and advancing its mission to drive sustainability through AI.

"Databricks Mosaic AI has all the necessary tools to make AI work for our scale, from data ingestion to model deployment. It also helps us better manage our data with proper governance."— Harisyam Manda, Senior Data Scientist at OMV

Across the energy sector, organizations that emphasize accuracy, flexibility and choice, and governance are better equipped to modernize, innovate, and meet their goals. With Databricks, these pillars are the foundation for lasting transformation.

The future of energy starts here

Whether it’s optimizing production, enhancing regulatory compliance, or accelerating AI innovation, energy leaders are using Databricks to simplify operations and drive continuous improvement. Want to see what’s possible? Start building with the Data Intelligence Platform for Energy today.