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Energy Industry
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Data and AI Transforming the Energy Industry
The energy transition, increasing market integration and deregulation, and rising consumer demand for greater control over energy consumption are creating complex challenges for the industry.
Artificial intelligence and data science provide innovative solutions to meet these demands while enhancing efficiency and sustainability across the sector. By analyzing real-time consumption and production data, AI enables precise monitoring and management of energy grids, improving stability, preventing bottlenecks, and facilitating the seamless integration of renewable energy sources. Smart forecasting models help align supply and demand more effectively while optimizing energy storage utilization.
AI-driven applications are also transforming the consumer experience. Data-based energy insights and dynamic pricing models empower users to optimize consumption and lower costs. Meanwhile, AI-powered platforms allow consumers to trade surplus electricity or feed it directly into the grid, opening up new opportunities for decentralized energy management and greater independence.
To successfully implement these advancements, companies need comprehensive strategies and integrated systems. By developing and executing concrete use cases - from concept to market-ready solutions - businesses can fully unlock AI’s potential. With data-driven approaches, energy supply becomes not only more efficient and flexible but also future-proof.
Partnering with [at]
for Your Data and AI Needs
Leader in AI and Big Data
We have been recognised as a #1 Value Creator in Machine Learning by CRISP Research and as a Big Data Leader in Germany by Experton.
Technology-independent Consulting & Implementation
We are manufacturer-independent, allowing us to always find the right technology that best suits your unique requirements. Our experienced data engineers and data scientists work closely with you to develop customized solutions and successfully implement them in your organization.
Expert in Finance and Insurance
We have successfully completed over 2,500 AI and data science projects.
Our case studies
Discover selected examples from our projects. Each reference shows industry-specific solutions for your unique requirements.
Our Approach:
The [at] Data Journey
![[at] Data Journey by Alexander Thamm GmbH, Data Strategy, Data Lab, Data Factory and DataOps in einem Flowchart](/fileadmin/_processed_/5/a/csm_journey_16.9_bef71ec01f.png "[at] Data Journey")
Our Digital Journey offers a holistic framework for data and AI projects, allowing us to fully understand our clients' challenges and provide tailored, effective solutions.
It encompasses four intertwined practices: Data Strategy, Data Lab, Data Factory, and DataOps. This holistic approach to planning and implementing Data and AI projects allows us to maintain a continuous overview of cutting-edge technologies and trends. Additionally, this setup provides our customers access to a qualified team of experts who can address and assist with various issues at every stage of the journey. Note that although our Digital Journey is a holistic concept, its individual components and services can also be accessed independently. Nevertheless, all areas are integrated into every project. This is how we turn data into real value.
We support your data project – from the initial idea to the final product.
Get expert advice
Want to explore the potential of AI and Data Science for your business? Interested in learning more about our use cases and technology? Talk to our experts!
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