Enterprise Innovation Campus –
Room for innovation

Would you like to become established as an innovation leader in the field of Artificial Intelligence?

 

At the Enterprise Innovation Campus, you can implement your Artificial Intelligence, Machine Learning, Data Science and Big Data ideas and solutions in an agile work environment with our scientists.

The Enterprise Innovation Campus offers creative freedom away from day-to-day business, whether at the Fraunhofer Institute Center Schloss Birlinghoven or online. Jointly developed ideas are immediately put into practice. The combined knowledge of those involved forms the basis for a professional innovation process, from idea generation to development of market-ready products and services. The blend of theory and practice enables customer-oriented results with high efficiency for companies. In addition to access to the latest technology, the employees of your company quickly develop Data Science knowledge and then have the opportunity to take part in a wide range of further education programs such as training courses and certifications.

Contact us to discuss the Enterprise Innovation Campus without any obligation.

Progress report from Telekom Deutschland GmbH (in German)

Privacy warning

With the click on the play button an external video from wwww.youtube.com is loaded and started. Your data is possible transferred and stored to third party. Do not start the video if you disagree. Find more about the youtube privacy statement under the following link: http://www.youtube.com/t/privacy_at_youtube

“What I particularly liked was the very simple access to new methods and constant new impulses, so we never ran out of ideas.”

Guido Heinen, Head of Market & Geo-Intelligence at Telekom Deutschland GmbH, about the cooperation with scientists from Fraunhofer IAIS at the Enterprise Innovation Campus.

What the Enterprise Innovation Campus offers you

  • Innovation: Freedom to test new, creative ideas with little cost
  • Agility: Agile cooperation without administrative superstructure
  • Teamwork: Hand-in-hand cooperation, always focused on the customer and business uses
  • Transfer of knowledge: Business knowledge meets methodological knowledge and the latest technological expertise, as well as the most recent research findings
  • Training: Learning by doing and qualifying personnel as data scientists (optionally with certification)
  • Professional competence: Direct access to internationally renowned researchers in all topics related to the field of Machine Learning and Artificial Intelligence
  • Interdisciplinarity: Transfer of best practices from other industries through the Fraunhofer expertise

Individual implementation

Below you will find two examples of how to run the Enterprise Innovation Campus. However, the modules can be adapted to your requirements and needs. Due to the current situation, the campus currently exists only in the virtual format.

Customizable modules of the Enterprise Innovation Campus
Modules Example 1 Example 2
Location
virtual Schloss Birlinghoven
Duration 1 year 6 months
Phases 4 hours 4-day sprint
Meeting Frequency every week and as needed every 2 weeks
Data own and public data own data
Digital Infrastructure own systems IAIS systems