What is Connected Innovation Intelligence?
Connected Innovation Intelligence (CII) is the process of using AI-powered technology to analyze billions of global data points, segment them by industry and relevance, and connect them together in a way that makes sense. This process enables users to quickly sift through vast amounts of data, correlate relevant information, and gain a 360-degree view of a topic, such as a company, an industry, a technology area, or an entire market.
With pertinent information readily accessible, innovation is streamlined. Intellectual Property (IP), R&D, and Legal professionals can:
- Simplify complex search results and extract meaningful insights
- Identify early-stage innovation opportunities
- Explore industry trends and competitor portfolio shifts
- Uncover real-time insights on new research and technology areas
- Improve innovation pipeline
Regardless of career stage or experience, CII is ideal for R&D, IP, and Innovation professionals at every stage of the innovation process.
What’s the difference between Innovation Intelligence and Connected Innovation Intelligence?
The biggest difference between innovation intelligence and CII is the breadth of reach during the innovation process. While innovation intelligence allows individuals and entities to search, gather information, and analyze the results to form business strategies and decisions, it doesn’t quite go as far as CII, which encompasses patent literature along with non-patent literature.
Innovation intelligence is perfectly adequate for people building products or services that already have an established foothold where they don’t need to worry about existing patents, copyrights, infringements, and the like. But with CII, a whole new world opens up to innovators. They can use machine learning and AI to look for current market gaps, how to exploit them, where to apply for patents (or who to buy licenses from), and much more. Strong CII also allows innovators to get a global picture of patent information, while innovation intelligence might be more limited in its reach.
Why is Connected Innovation Intelligence Important?
CII is important because it matches the online and digital landscape driving innovation forward in today’s world. It gives innovators access to more data they’d be able to sift through on their own, with AI and machine learning doing the heavy lifting by turning disorganized and noisy data into coherent information.
Take patents as an example. There is no single, global patent organization, meaning innovators need to check with each patent office to see if their idea has already been patented. If so, they can use CII to quickly determine the next course of action. And if not, they can also leverage CII to look for similar patents, potential holes, or overlapping entities that could possibly contribute in the future via collaboration.
By using existing technology, innovators can use CII to help them move forward in the innovation process as quickly and efficiently as possible, reducing the chances of coming upon dead ends, infringing on others’ work, or wasting valuable resources when they could be better used elsewhere. Even innovation in artificial intelligence uses AI!