Understanding data science
Blog posts, case studies and whitepapers: Learn more about data science with our expert information. How do I implement data science projects, what does the right IT infrastructure look like and how can I better understand consumer behavior? Find exactly the content you’re looking for and gain insight into best practices in data science across the enterprise.
Development of a data science infrastructure at AOK Baden-Württemberg
Development of a customized concept for creating the optimal framework conditions for the topic of data science by means of a performant, scalable and at the same time secure IT infrastructure.
Schedule Management Automation with AI
In times of increasingly volatile electricity production and demand, coupled with the ongoing digitization of infrastructures, artificial intelligence can be a central building block for the timetable management of the future. The data science experts at eoda have taken on the development of the AI system for the automated creation of the timetable.
Text mining for forecasting the development of electricity prices
What impact do news reports have on the development of the electricity price.
Digital Twin and AI in Solar Energy
Increasing the economic efficiency and sustainability of photovoltaic systems through the use of data science.
Artificial intelligence in invoice verification
Intelligent algorithms as an accounting aid at B. Braun Melsungen AG.
With Condition Monitoring and Predictive Analytics to the smart rotary indexing table for WEISS
Develop new digital service modules and increase reliability through the consistent use and analysis of control data.
Customer analysis for VR Bank Mitte eG
eoda uses data mining methods to determine the affinity of customers for specific consulting topics and thus helps to optimize sales processes.
Automatic categorization of answers in customer surveys
Development of a text mining algorithm for OBI Group.
Development of an analysis infrastructure for Covestro AG
For Covestro, we built a reproducible, centralized development environment for R and Python that helps to fulfill compliance guidelines better while making collaboration more efficient.