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The primary problem for Covestro, a leading manufacturing company in Germany, was that they lacked a centralized development environment. Data scientists that used R and Python did complex analyses on their laptops and used a variety of tools to analyze and share results. The team decided that they wanted to deliver a greater impact at faster speeds, and so with the help of eoda and RStudio, they created a centralized, reproducible analytics infrastructure. Although R and Python represent the core of their environment, many other techniques and tools were integrated such as H2O for machine learning, scaling with kubernetes, CI/CD with GitLab, and version control with SVN. Not only did this framework increase the collaboration of Covestro’s data science teams, but compliance guidelines could also be better fulfilled. A centralized infrastructure, incorporating statistics, IT support, machine learning and artificial intelligence, enables decentralized teams to solve problems and achieve long-term success.

The second half of this 2-hour German webinar will be a hands-on workshop that participants can follow along with. The instructors will discuss how to use RStudio products, including native git integration and multiple approaches to deploying with RStudio Connect. This workshop will provide teams with an excellent collaborative workflow for building, maintaining, and scaling projects in a growing data science environment.

What you'll learn:

  • Insights into the pain points and solutions for the data science initiatives of Covestro. What is a centralized analytics system? What tools and techniques are needed?
  • Learn how to identify existing building blocks in your infrastructure and successfully address them. What is infrastructure as code? What is the business value for your company? What are the benefits and why should you care?
  • What organizational changes are required?
  • Exclusive insights into RStudio products and current developments from the leading provider of professional data science software. How to use the native git integration of RStudio products? How does deployment work with RStudio Connect?

Please note: This live webinar will be presented in German, and English subtitles will be provided approximately 3 weeks following the recording.


About the speakers

Daniel Schultz
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Data Scientist at Covestro AG

Daniel Schultz sees himself more of a data tinkerer than a data scientist. Within his current position at Covestro Deutschland AG he drives the digitalization of the industry. Besides bringing data science products into production, Daniel focuses on building a vocal data science community and explainable AI. As such he is enhancing the overall data literacy at Covestro.

Ralf Stubner
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Solutions Engineer | RStudio

Ralf Stubner is a solutions engineer after having worked in engineering and consulting roles in the financial and the IT industry. He is a trained physicist who likes to analyze complex systems.

Oliver Bracht
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Chief Data Scientist & Management at eoda

As Chief Data Scientist and co-founder of eoda GmbH, Oliver Bracht experiences the challenges that companies are facing on a daily basis. He also sees the opportunities that arise from innovative ideas and the willingness to change. His goal being that companies should make more out of their data.

Christian Ewald
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Analytic Infratructure Consultant at eoda

Christian Ewald has been working in the data science and aicon departments of eoda GmbH since 2017. In the area of data science, he works as an R developer, specializing in the development of WebApps with shiny. In the area of aicon he is mostly working on the evaluation and implementation of current infrastructure & DevOps technologies. In his spare time he is interested in operationalization and optimization in the area of cloud computing.

Logistics

Only 3,000 live attendees are allowed in the Webinar on a first come first serve basis. There will be approximately 45 minutes of presentation and about 15 minutes for Q&A.

Slides & Code

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.

Go to the repo

Webinar Recordings

If you can't attend, don't worry. We record (almost) every webinar and post all materials on our website within 48 hours.

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