Implementing a semantic approach to new product development and product lifecycle management can help organizations capture new opportunities because:
It facilitates the process of finding opportunities through computer driven analysis of unstructured data to spot trends and emerging needs.
It improves the R&D process through shared data and improved collaboration both internally and externally.
It increases the serendipity of collaboration between disciplines because it is easy for experts to draw new relationships between the data.
It eliminates many of the traditional costs of new product develop through virtualization lowering the costs of prototyping and market testing.
It speeds time to market by opening up collaboration options, such as crowd sourcing, social networking and social media based marketing.
Neil Movold on 08 Sep 11A question for you: How does discovering and sharing online information make you feel? [I'd bet a good number of you are frustrated, feeling the negative effects of what Eli Pariser calls the "filter bubble"...] Well, here's something else to consider: discovering and sharing information - and the means for curating it - should be serendipitous. Really, it should. A Form of Collective Intelligence I had the fortunate pleasure of meeting up with my friend Jarno Koponen while in Helsinki this past week. Jarno and his founding partner, Marko Anderson, have spent the last two plus years building a predictive discovery engine, called Futureful.