I-Nova has developed a highly sophisticated application that is the result of years of research and development. It is being continually improved thanks to I-Nova’s close collaboration with its clients.

The history of many inventions we now use daily (washing machine, automobile, walkman, post-it, and so on) shows that innovation results from the intelligent combination of ideas, existing technologies, problems raised by customers, and other factors. The combinations are often the result of chance (a meeting at a show, coming across new knowledge, reading), but they can also result from in-depth knowledge of the technological environment, the competition and customer needs. The correlation engine works on the basis of statistical rather than semantic analysis. What is more, it is natively multilingual, meaning that it can work in any language without specific development or resources.

The software takes into account the entire context of the information. For example, when analysing an idea, it not only takes into account the texts on the subject or idea but also its author, the experts on the subject, its type, any comments, and other pertinent information. The notion of clustering is based on a topological analysis of proximities between elements, as if they were located on a map with distances reflecting statistical differences on matches.

To achieve this I-Nova proposes the following functions:

Recommendation:   Identify the pertinent information and competences that generate and enrich ideas.

• Automatic Social Network: this is a profiling system for recommending contents and people.
• Stimuli: pragmatic review in a work context (working on an idea, reflection on an upstream project, etc.).
• Related topics: recommendations of tags for refined searches in the innovation bank (as a function of search criteria).

Clustering:   Modeling subjects dealt with by the database and generating a graphic image of the relations between them.

• Creative maps: synthetic images that use ideas and insights expressed on a given idea to identify overlooked and “promising” subjects.
• Analysis of customer feedbacks (the Finder module): a data-mining tool for analyzing databases in order to provide understanding of the customer’s environment and identify its trends and specific characteristics.

I-Nova acts like a network of synapses and neurons, linking, matching and classifying, distilling information into usable data

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