🕒 Last updated on October 29, 2025
Renewable energy is driving the world toward a cleaner and greener future. Wind and solar power are essential in reducing greenhouse gas emissions and promoting sustainability. Yet, their intermittent nature often makes energy supply unstable. The wind does not blow all the time, and sunlight is not constant. This challenge calls for innovative technology to make renewable power more reliable.
Ashiss Kumar Dash, Executive Vice President and Global Head of Services, Utilities, Resources, Energy and Enterprise Sustainability at Infosys, believes Artificial Intelligence (AI) can help solve this problem responsibly. According to him, AI can make energy systems smarter and more efficient by enabling machines to learn, adapt, and make data-driven decisions. By combining AI with renewable energy systems, Infosys is helping companies improve performance, reliability, and sustainability.
Turning Data into Reliable Power
AI can process vast amounts of data from weather systems, equipment sensors, and energy grids in real time. With this insight, AI can forecast wind and solar output more accurately, predict equipment failures before they occur, and optimize energy production. This leads to reduced downtime, improved safety, and better decision-making in energy operations.
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Infosys has successfully used AI for several global energy companies. One major North American utility worked with Infosys to enhance power grid forecasting using AI. The system improved forecasting accuracy to about 95 percent, helping the company save millions of dollars in infrastructure costs. It also reduced unplanned power outages from over 5 percent to below 1 percent by investing more efficiently in grid maintenance. These achievements highlight how responsible use of AI can create measurable value in the energy sector.
Building a Responsible AI Framework
Ashiss Kumar Dash explains that AI should not exist as a separate strategy but should form part of a company’s core business strategy. At Infosys, the AI framework is built on five pillars.
The first pillar is technology incubation, where new tools and solutions are tested for real-world energy challenges. The second is platform and ecosystem development, ensuring data and systems are secure and scalable. The third is responsible AI, where fairness, transparency, and compliance are built into every stage of AI deployment. The fourth is selecting the right use cases, focusing on projects that bring clear business value—such as automation, predictive maintenance, and cost reduction. The fifth pillar involves reusable solutions, where proven AI models can be adapted across different departments, reducing time and effort.
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Infosys also uses dedicated “strategy and execution pods” that combine technology, domain, and business expertise. These teams design, build, and deploy AI systems while ensuring they align with evolving regulations and market demands. Dash emphasizes that this approach keeps AI initiatives flexible, scalable, and aligned with the company’s sustainability goals.
Ethical AI in the Energy Sector
Ashiss Kumar Dash highlights that as AI becomes more powerful, it must also become more responsible. Infosys promotes ethical AI to ensure systems remain fair, transparent, and compliant with regulations. The company has put strong governance frameworks in place to monitor AI development and detect bias or unintended outcomes. Regular reviews ensure systems continue performing safely and effectively.
Infosys also includes experts from legal, compliance, and HR teams to bring diverse viewpoints into AI governance. This multi-disciplinary approach ensures AI tools uphold ethical standards across the organization. Dash adds that employee education is another key element. Infosys trains staff to understand how AI works and how to use it safely and responsibly.
Infosys’ responsible AI initiatives demonstrate how advanced technology can coexist with ethical practices. Through careful governance, continuous monitoring, and employee awareness, Infosys is ensuring that AI supports the global transition to renewable energy—making it smarter, cleaner, and more reliable for the world’s future.