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.
Implementation of a data science infrastructure at AOK Baden-Württemberg
By implementing a new data science infrastructure, AOK Baden-Württemberg is creating optimal working conditions for analysts and data scientists while also meeting the high requirements for security, availability, and maintainability of IT administration.
How does a company successfully introduce data science?
Primeo Netz AG leverages the potential of AI in the energy transition - from vision to production.
Development of a data science infrastructure at AOK Baden-Württemberg
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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.
Shiny Development Guide
RStudio's R package Shiny brings data science to life. Our Shiny Development Guide provides guidance on how to manage and organize the Shiny app development process.
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.
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