Decision support for ideation and innovation management

Purpose and goal

The project has developed a deeper understanding of the various factors that affect the quality of an idea and developed a product with artificial intelligence in the form of self-learning algorithms (deep learning) for efficient evaluation of ideas. The algorithms are implemented in a product that now will be introduced into the market. The purpose and goals for the project are more than fulfilled.

Results and expected effects

The most important effect in the short term of the project is that we have been able to develop world-unique self-learning algorithms for analysis of ideas and interactions between people in the ideation process. This will give our core product a unique competitive advantage that none of our competitors in the world market have today.

Approach and implementation

The project has held 16 minuted meetings. The project plan has been updated continuously according to the current status and needs. The parties were responsible for their own reporting and regularly reported to the coordinator. The development has been carried out in separate iterative steps. As the project early on realized that artificial intelligence could provide a new type of solution, a lot of development has been at a deeper level than originally planned.