Elevate customer experience, optimize asset management and scheduling and enhance productivity with AI
The shift to cleaner fuels and renewables is fundamentally reshaping the energy industry—while regulatory demands, capital pressures and legacy constraints make transformation harder to execute than ever. Ambition is not the problem. Scale is.
AI bridges that gap. It multiplies workforce expertise, sharpens operational performance, reduces costs and downtime and turns fragmented data into a connected, intelligent foundation for decision-making. Yet technology delivers only when transformation is governed, measurable and aligned to real business outcomes.
IBM collaborates with energy organizations across power and utilities, oil and gas and natural resources to responsibly scale AI and data. This approach builds the unified foundation needed to modernize operations, increase reliability and accelerate the transition to a more resilient, sustainable future.
Aging infrastructure, climate-driven stress, and rising reliability expectations leave utilities little room for error. By connecting asset, maintenance, and field data, utilities can shift from reactive fixes to predictive maintenance, reducing outages, extending asset life, and improving regulatory and customer outcomes before failures occur. Learn how energy leaders modernize asset operations to boost resilience, reliability, and workforce safety, before the next outage tests operations.
Aging grids, rising demand and fragmented data are pushing utilities to a breaking point. AI, automation and a unified data foundation change the equation—enabling predictive maintenance, smarter grid visibility and better customer outcomes while cutting costs and accelerating the clean energy transition.
Volatile prices, aging assets and emissions pressure are straining operations from wellhead to refinery. AI, automation and integrated data platforms change the game—enabling predictive maintenance, real-time production optimization and emissions tracking while reducing risk, lowering costs and building a more sustainable, resilient operation.
Commodity volatility, declining ore grades and environmental, social and governance (ESG) scrutiny are squeezing margins and operational continuity. Advanced analytics, geospatial intelligence and remote operations shift the odds—enabling smarter reserve planning, real-time site visibility and optimized processing to improve recovery, reduce environmental impact and strengthen resilience.
By using IBM Maximo® software, Swedish electricity company Ellevio is transforming the maintenance of equipment in hundreds of substations across its 80,000-kilometer network. Ellevio shifted from reactive to predictive maintenance, enabling real-time asset monitoring, fewer site visits, lower costs and improved reliability.
Digitize renewable supply chains with integrated traceability, sustainability data and audit-ready reporting
Max out your asset value. Optimize performance with AI-infused monitoring and maintenance.
Put your data to work, wherever it resides, with the hybrid open data lakehouse for AI and analytics.
Strengthen reporting, reduce risk and accelerate decarbonization with trusted, AI-assisted sustainability data management.
Use the right combination of people, process and technology to turn sustainability ambition into action and become a more responsible and profitable business.
Driving business transformation for enterprise clients with extreme automation.
Successfully scale AI with the right strategy, data, security and governance in place.
Help organizations streamline reporting, reduce risks and boost efficiency with clear, value-focused ESG strategies.