Automatic Machine Learning in Python
Automated Machine Learning – AutoML – is the key technology for predictive analytics using artificial intelligence. Our ClearVu Python package allows you to use this technology now in Python in a very comfortable way. Python is a popular and widely used programming language among data scientists and machine learning experts. [...]
ISO 9001 Certification for divis
The new year started with an exciting event for divis: After an audit by the TÜV certification authorities, our quality management is now officially certified according to ISO 9001:2015. Of course, we are glad to have this certification, confirming our customer and process orientation and our continuous measures for improvement [...]
Automatic Machine Learning with Microsoft Excel
Automatic Machine Learning — shortly AutoML — is the key technology for data driven prediction with artificial intelligence. Our ClearVu Excel Add-In enables you to easily use this technology directly from the Excel user interface to build forecasting models for your data sets. The underlying technology is our powerful ClearVu [...]
Process Optimization at IOI Oleo GmbH
The German production site of IOI Oleochemical is one of the leading European providers for oleochemicals. Besides active ingredients for pharmaceutics, emollients, emulsifiers, texturizers, and a large selection of multifunctional ingredients for cosmetics, IOI Oleo GmbH provides special esters and additives for the food industry. Process auxiliaries and greases for [...]
ClearVu Python Package
Our new developed Python Package allows users to use the automatic machine learning capabilities of ClearVu Analytics within Python. This includes fitting, comparing, using, loading, saving and exporting models. Automated machine learning includes the automated training and hyperparameter optimization of nonlinear modeling algorithms such as neural networks, random forests, support [...]
Industrial Impact Award for PHD within a Project with BMW
At the “International Conference on Industry 4.0 and Smart Manufacturing” which took place on November 23-25—due to the current circumstances as an online event—the contribution “A Classification-Based Solution For Recommending Parameters of Production Processes Without Quality Measures“ was honored with the Industrial Impact Award. The article by Zhengtian Ai, Ingo [...]
Coming Webinars
Our colleague Frank Hebel will give some web-based presentations whithin the frame of a webinar series moderated by the Wirtschaftsförderung Soest who is active in business development. The participation is free. The upcoming presentations are: • Cloud based Analysis and production control, September 22, 3pm – Fast and easy data [...]
CoPro – Final Consortium Meeting in April
The CoPro research project in which we participated during the last 3½ years has come to an end. In April, the final consortium meeting took place. The goal of the project was to find optimal solutions for the coordination and scheduling of plants and industrial sites under dynamic market conditions [...]