Many companies are building centers of excellence to get the AI ball rolling; some also integrate these with academia. The institution of BASLEARN is such an example, a collaboration between BASF and the TU Berlin. But just as many companies are struggling with the challenge of creating tangible value from these partnerships. In this session, In this presentation we will see what the pitfalls are and how best to avoid them to experience the benefits of such a collaboration, like early access to potential groundbreaking new AI solutions.

Join this session and learn more about:

• “Garbage in garbage out” has never been more true
• Tips on how to avoid overspecialisation
• Which framework ensures the extraction of value from partnerships the best

• What common challenges do industry–academia AI partnerships face in turning research into revenue?
• How does data quality impact the success of AI projects in such collaborations?
• In what ways can teams prevent overspecialisation while still leveraging deep expertise?
• What frameworks or governance structures help ensure that partnerships deliver tangible results?
• How can early access to innovative AI solutions be maximized without creating dependency risks?

In the Harvesting Session, presenters will summarize the results of the day’s discussions and highlight key findings from the World Cafés