AI for Energy

“Companies in the energy sector are faced with the challenge of fully exploiting the economic value of data and AI products. There is often a lack of standardized profitability analyses, clear mechanisms for measuring success and uniform strategies for introduction and implementation. Strong data & AI governance and excellent data management are also crucial for using data as a strategic resource and ensuring compliance and data quality. A structured approach that integrates defined KPIs, active value management, and robust governance practices can fill these gaps. This makes it possible to measure the economic benefits of data-based technologies, drive digitization forward in a targeted manner and enables sustainable, profitable use.”

Sebastian Fetz

Area: AI & Data monetisation + Data & AI Governance

“Computer vision is a branch of artificial intelligence (AI) and machine learning (ML) that analyses visual data such as images or videos to recognize patterns and make decisions. It offers energy companies decisive advantages by automating plant inspections, identifying damage at an early stage and making maintenance processes more efficient. The technology reduces business interruptions, lowers costs and increases security through precise analyses of visual data in real time. With computer vision, energy companies can optimize their operations, extend the life of plants and strengthen their competitiveness in an increasingly data-driven market.”

Dominik Filipiak

Area: Computer Vision in the energy sector

“MLOps is essential in the energy sector because it enables reliable integration, scaling, and continuous improvement of machine learning models. These models optimize energy flows, improve grid stability and support predictive maintenance, which is crucial for the efficiency and sustainability of the energy transition. With MLOps, innovative solutions can be implemented more quickly and adapted to the dynamic requirements of the energy sector.”

Max Becker

Area: Robust, scalable ML and LLM operations

“Citizen development is a concept that enables non-technical employees to build their own applications using low-code or no-code platforms, supported by AI and machine learning. It offers enormous advantages for energy companies, as local employees can develop individual solutions for specific challenges, such as monitoring processes or optimising work flows. This shortens development times, reduces costs and increases the innovative strength of the entire company, while relieving IT resources at the same time.”

Liliya Imasheva

Area: Citizen developer in the energy sector

“Excellent data management is a key requirement for the success of the energy revolution. A clean and transparent database is essential to overcome the challenges of decentralization, volatile feed-ins and growing sustainability requirements. With excellent data management, not only can internal operational efficiency and top performance be achieved, but also a stable, sustainable network can be created that meets the needs of customers and at the same time makes a positive contribution to society in areas such as climate protection.”

Konstantin Gaertner

Area: Data management in the energy sector