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Get real time insights into supply and demand and state of infrastructure

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With Machine Learning, utility operations can be supported by:

monitoring and proactively maintain infrastructure like pipelines or electricity lines
modelling renewable energy supply based on weather data and cloud coverage
modelling energy demand for most economic production capacity utilisation

Projects in Utilities

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Automatic Planning of Solar Systems

Using machine learning, computer vision and object recognition, dida succeeded in developing a software to automatically plan solar based on satellite data.

Defect Detection in Manufacturing

Machine learning in production: We did the development of AI-based optical defect detection software for the semiconductor laser production.

Smart Access Control with Facial Recognition

Machine learning and security systems: Development of a multi-level system with facial recognition and automated access control using AI.

Blog Posts in Utilities

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Natural Language Processing

GPT-3 and beyond - Part 1: The basic recipe

By Fabian Gringel September 27th, 2021

Read here about how GPT-3 works, as well as its dangers & applications, and learn how you can try a GPT-3-like model for free.


21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.

Computer Vision

Pretraining for Remote Sensing

By William Clemens (PhD) May 11th, 2020

Learn more about the benefits of pretraining a machine learning model in preparation for real training, using remote sensing as an example.

Theory & Algorithms

Machine Learning Approaches for Time Series

By Julius Richter • December 18th, 2019

Expand your machine learning knowledge of time series, serial sequences & recurrent neural networks (RNN) with this professional introduction.

Computer Vision

Semantic segmentation of satellite images

By Nelson Martins (PhD) May 24th, 2019

The creation of the machine learning model for semantic segmentation of satellite images has produced interesting results, which you can read here.

Use Cases in Utilities

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