15 years post Henry Chesborough’s definition of open innovation (OI), companies pursuing OI often find themselves deluged with information, analyses, and processes that have yet to move the needle in terms of actually accomplishing greater innovation. The idea of an organization where information, insights, and ideas seamlessly float in and out is much more difficult to manage and monetize than expected. It is easy to see why there is so much interest in data analytics and artificial intelligence.
While these technologies promise to alleviate some of the burden of finding insightful ideas that can be implemented into new and wonderful products, it is not the panacea that most imagine. In this webinar we’ll review:
Where we are with OI today
The promise and shortfalls of big data and AI
What is needed to be more successful at managing and leveraging the OI process-what we call OI 2.0