Charting a new energy future with AI innovation and collective action
According to a report by the World Economic Forum, 2024 likely brought the peak of energy-related CO2 emissions1—reason for optimism. But there is still a tremendous amount of work to transition our global energy systems toward a more safe, secure, equitable, and sustainable future by creating opportunities for global energy providers to harness the power of data and AI.
AI innovation is a critical component of delivering more energy with less emissions—and combined with strategic partnerships and collective action, it’s a way to supercharge change. The World Energy Council elevates the idea of “Humanizing Energy” as its visionary foundation for transitioning the world away from fossil fuels. But change of this magnitude will be complex. According to the World Energy Council, humanizing energy involves “more people and diverse communities in understanding their roles and choices and remaining realistically hopeful about making progress by enabling hundreds and thousands of smaller steps along multiple, diverse pathways.”2
Microsoft for energy and resources
Drive innovation to achieve a sustainable future
At Microsoft, we believe that change happens through collective progress that brings people and technology together. Even as enterprise data management and AI solutions become key enablers for successful digital transformation, we can’t lose sight of the importance of keeping people and communities engaged. When people are actively involved in modernizing the processes, workflows, and tools they use every day, they’re empowered to not only work more efficiently but to recognize all the new opportunities and roles they play in supporting a more sustainable energy future.
There are countless applications of AI in energy operations and workforce transformation, all of which can add up to big change. This blog explores just some of the industry-leading AI innovations and steps we can take to advance the global energy transition together.
Protecting and strengthening critical infrastructure and energy operations
Microsoft security copilot
Many energy systems today, especially power and utilities infrastructure, are prone to persistent cyberattacks. Left unresolved, security risks can quickly spiral and complicate already-existing issues like technical debt, tool fatigue, and employee burnout. It’s a prime example of how technology can enhance human capabilities to create a secure energy supply. Several of the industry leaders we work with are leveraging generative AI to streamline security processes and improve security posture, allowing their security personnel to focus on the highest-priority work. For example, international power company Uniper relies on Microsoft Security Copilot to help their IT security personnel work smarter and faster. Microsoft Security Copilot immediately flags potential incidents, allowing them to identify and address risks up to twice as fast. It also helps them manage access and quickly compile new emergency plans based on current drafts. It can even create a list of inactive devices that pose potential security risks.
Uniper is just one of the many energy companies that keep critical services secure with a platform powered by the Microsoft Cloud. We continue working with industry leaders to secure the global energy supply, leveraging the enormous potential of data and AI to optimize systems and reduce emissions for a more resilient and secure digital energy ecosystem.
Improving frontline worker productivity and safety with real-time insights
The world runs on the products and services provided by millions of energy and resources workers. As the industry grapples with changing customer demands and pressures to reduce emissions, the workforce is undergoing a transformational shift to better accommodate these needs. But they also face gaps in areas like skilling and productivity that require strategy and innovation to overcome.
Microsoft 365 copilot
AI-powered tools like Microsoft 365 Copilot empower workers with the right information at the right time. Industry leaders like TotalEnergies are using Microsoft 365 Copilot to help workers be more efficient and productive, with every employee receiving AI training throughout the past year. Another energy leader, Petrobras, uses AI technology from Azure OpenAI Service to power its custom text generation tool used by more than 110,000 employees. The tool helps democratize AI in a secure, compliant way and enables employees to perform their work in less time and with less manual labor. In yet another example, Repsol, a global multi-energy provider, is reaping the benefits of AI capabilities with a study showing that its adoption of Microsoft 365 Copilot has helped employees with productivity gains of up to 121 minutes per week, with nearly 62% of employees reporting reluctance to return to work without access to Microsoft 365 Copilot. What’s more, the company reduced procurement costs by 15% while observing a 16% increase in deliverable quality.3
It’s clear from these examples that AI is a game changer when it comes to empowering the energy workforce. By connecting workers with purpose-built tools and experiences, energy companies can set the stage for maximizing productivity and working in new, flexible ways.
Enhancing energy supply with real-time monitoring and predictive maintenance
When it comes to the energy business, even a fraction of a percentage in efficiency can make a significant difference in providing a reliable, high-quality supply. Advanced data and AI solutions can pull together and organize vast amounts of disparate enterprise data, enabling energy suppliers to more effectively monitor operations, forecast production, and predict maintenance requirements.
Enerjisa Üretim, for example, built a remote operations center that leverages advanced analytics powered by Microsoft Azure. The powerful data processing allows the company to monitor its 20 hydropower, wind, and solar plants every day and provide timely response to any operational or production issues. Enerjisa Üretim has also developed a tool that uses Azure OpenAI Service to access and analyze its Internet of Things (IoT) data from more than 40,000 datapoints and combine it with operational data to increase efficiency and streamline processes across power plants—ultimately reducing the data collection and analysis time from hours to seconds. The company also uses generative AI capabilities to forecast daily power generation for turbines by analyzing factors like asset condition, weather, and wind speed. The AI capabilities provide immediate answers and offer more flexibility when it comes to staffing multiple experts for every project.
Accelerating research and modeling with insights and intelligent search
High-quality data and advanced analysis capabilities are essential for the energy and resources industry. In mining, for instance, these are needed to create the 3D models necessary for accurate and efficient mineral recovery. The process of preparing the data, however, can be extremely time-consuming, as geologists must sift through massive volumes of documents that have often been accumulated over the course of several decades. Now, mining leaders are leveraging Microsoft AI technology to accelerate intelligent search velocity and accuracy across the large geological data sets they use.
We recently worked with a mining industry leader to implement a solution built with Azure OpenAI and Azure AI Document Intelligence. The solution automates data extraction and storage, elevates the most relevant information, and produces critical insights quickly through a generative AI bot, ultimately enhancing accessibility and interpretation of geological, geophysical, and other data for users of all experience levels. Streamlining this process helps them create 3D models faster by significantly reducing the time spent searching and preparing data—from weeks down to just minutes. These overall productivity gains free up time to increase recovery, reduce waste, and improve safety and cost-efficiency.
Streamlining permitting and automating complex utility rate case workflows
In the energy and resources industry, permitting and rate case processing are common and necessary to adhere to important legal, financial, and environmental compliance and regulatory requirements. They can also be extremely costly and time-consuming, especially for nuclear energy permitting, which requires unique expertise and can often take many years and tens of millions of dollars to complete, and for complex utility rate cases, which require detailed data sources and documentation.
Generative AI can significantly reduce the time and costs associated with permitting and rate case processing. In a recent example of AI design innovation, Microsoft’s energy and resources industry team worked with Neudesic, an IBM Company, to develop a rate case assistance accelerator to streamline processes for leading utilities worldwide. The AI-powered solution significantly reduces the time and costs associated with internal processes, resulting in up to 22% productivity gains and saving up to USD45,000 in operational costs per document. With time and monetary savings, energy companies can focus on higher-value business goals, reliability, and customer service.
Finding information faster with AI agents
As AI becomes more prevalent across global industry operations, we’re increasingly seeing the benefits and vast potential for supercharging productivity. AI agents, for example, can help users find the right information faster, and they can execute a specific set of tasks, allowing workers to spend more time on innovative and creative work. This will be a gamechanger.
In December 2024, the International Energy Agency (IEA) announced a new AI agent, currently in beta testing, that helps users explore the 2024 edition of the World Energy Outlook. The GPT tool, built on Microsoft Azure using Microsoft Copilot Studio, answers questions using natural language and helps readers quickly locate data and information of interest. AI agents like this one don’t just save time—they also make information more accessible to more people. That means you don’t need to be a data scientist or energy expert to interact with and understand reports and other scientific documentation. Instead, a reader can simply type a question using conversational language, and the AI models—trained on the industry terminology and relevant documentation—can provide user-friendly and fast responses.
Explore more AI innovation in energy
At Microsoft, we’re committed to working with the global energy industry to accelerate the energy transition and enable a more secure, reliable, equitable, and sustainable future. Through our cloud-based data and AI solutions, energy leaders can accelerate their digital transformation to maximize value across their entire enterprise—and we’re here to support along the way. You can check out our additional resources to learn more about working with the Microsoft energy and resources industry team.
- Read the Microsoft Industry Blogs: Energy and resources to learn about themes and actions critical for energy transition.
- Learn how to achieve more in the energy and resources industry with trusted data and AI solutions from Microsoft.
- Explore innovation in sustainability through our publication, For Life on Earth.
- Learn about Microsoft security solutions.
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Source: Microsoft Industry Blog