Innovation, a subject of massive interest:
- is multiple and subject to overlapping descriptors: Closed, Open, Collaborative, Disruptive, Inclusive, Nested

An image is worth a thousand words. This is a common adage which may have to be revisited. The query "Eiffel Tower" yields about 60 million images using Google^TM search engine. These words combined with "steel structure" score about 20 000 images.
The power of images is paramount. With about 80 million enforceable patent documents, a large number containing images, one may wonder whether the adapted tools to exploit this image databank are available and used.
Adding three dimensional activation of patent drawings by means of computer aided design would likely return creative amazements with large potential for innovation. In 2010 ideators filed approximately 2 million new patent applications around the world. These patents tend to contain more readily exploitable images.
Combinatorial, associative or intersecting approaches, as illustrated in the introduction, are definitely a major source of inspiration for innovation, moreover disruptive.
What about the "Big Data" necessity? Can the 60-70's technology wonders, such as PCs, Biotech, Mechatronics, further evolve today without the "Big Data" component?
Big data approach is definitely not common in the IP domain; matter of legal fears or lack of adapted tools? The question will anyway probably not slow-up the advent of Big Data in a broad fashion in many areas.
Inclusive innovation, with a goal to serve beyond the development mainstream, encompasses more consumer data therefore Big Data analysis too. Inclusive, open and disruptive innovation modes are pending on good and clear visualization of the trends, initially partly or mostly technological.
This chapter, as part of a series on innovation, attempts to answer some questions related to the above matter and provides insight in the visualization technical status and its potential and direct applicability to IP analysis, and IP discovery in general. Visual analytics, although not developed, are integrated in the horizon of a bigger data analysis bringing additional questions such as:
Beyond the classical synergy -additive- equation, is there a potential for multiplying the ideation outputs?
Furthermore, is there presently too much emphasis engaged on the data itself, rather than the analytical trends and the acumens that can be produced? Are the available tools, such as for extraction, suitable?

"Innovation is not the idea, but what you do with it". Can ideation be engendered by artificial means? Can it come from bio-inspiration?
In this third review centered on innovation, open innovation, and now disruptive innovation, the authors have reviewed and re-contextualized various bio-inspired technologies ranking from pharmaceutical developments, medical treatments, software and hardware, energy, materials and natural polymers.
This after a refreshing introduction associated with 1- the skills of the "bio-inspired" business engineer, 2- the open innovation process path and discipline therewith and 3- the patent value of the pioneering, possibly disruptive inventions in the typical patent portfolio.
A knowledge flow pattern, from sharing, integration, search, generation, classification, dissemination, to application, is proposed to outline the necessary understanding of bio-inspiration to yield application of innovative value; still nurturing the proposed knowledge "life cycle".
The necessary creative confidence can be gained, reinforced by the bio-observation and inspiration; nonetheless a larger set of functions may need to take part to the innovation process with their own recognized and valued creative potential and phobia elimination.
When performed by enlarged teams comprising the engineer, scientist, IP strategist, business model expert, sales and marketing teams, accountant, executive and operating teams, the ATA

Is Intellectual property (IP) central to innovation or is innovation central to IP? Univocally, patent valuation starts before drafting. Then IP is a valuation step such as innovation is. Equally "innovation is not the idea, but what you do with it". Then can ideation be engendered by artificial means?
Nearly 60 years have passed since the birth of artificial intelligence and the initial dream of a machine possessing the full-range of human cognitive skills still belongs to science-fiction. However software using artificial intelligence are more and more present in our daily life. This is particularly true in the domain of information retrieval. Today's amounts of data one can access through diverse media necessitate the use of "clever algorithms" to find relevant material. This applies even more to the domain of IP.
Companies' whole innovation strategy relies significantly on the analysis of patents, scientific publications and other IP documents. It is therefore crucial for them to extract in the most efficient way the best of the available information. The purpose of this paper is to give strategists, researchers, business analysts

Not all the best people work for you... This is likely one of the motivator for open-innovation in terms of future business development. IP, R&D and Business strategies are becoming one. The adjacent technology analysis, ATA