Next generation AI solutions are quickly making their way from the test labs into utilities. These new tools will make it simpler for mobile service teams and remote employees to complete their work, boosting productivity and improving energy company efficiency.

Smart energy systems are the future of clean energy. Apart from AI, technologies such as ML and blockchain in the energy sector also significantly impact the shift toward sustainable energy.

In the realm of fusion science discovery, improved AI-based modelling of plasma dynamics from experimental data and plasma simulations offers the possibility of enabling predictive modelling for real-time monitoring

The nuclear energy industry has been at the forefront of applying AI to its processes and operations, thanks partly to its collaborative, monitoring-heavy and data-driven nature.

Energy utilities do not want to simply collect information. They need to correlate it, see connections, and make changes to improve the business.

Once considered a bulwark against the forces of modernization, industry and technological change is pushing energy trading organizations to consider a number of strategic changes to their front, middle, and back office functions that optimally engage people and systems to navigate our VUCA world.

The foundation of AI is data and, based on the huge amount of it that utilities collect about customers, they’re well-positioned to deploy AI to improve customer care.

Artificial Intelligence, AI, will be a key enabling technology in achieving renewable energy and sustainability targets, according to a report, "Artificial Intelligence: Transforming the Future of Energy and Sustainability," released today, ahead of January’s 2020 World Future Energy Summit.