Find and analyze patents that relate to the analysis and prediction of key data elements. You have access to two primary data sets i.e. Google Patents (API or search), and Crunchbase.
Consider scenario:
You have access to data that describes an ecosystem of companies, founders, investors and categories (keywords) allocated to companies. Various approaches and methods are applied when analyzing potentially successful companies and people in markets. Which prediction methods can be used to determine if a company will be financially successful in the future? Are there methods to determine if certain ideas will be more successful than others?
In the fields of big data, machine learning and artificial intelligence, find patents that describe an approach to solving this scenario. Produce a network map (ecosystem) of patents. Please outline how you would apply the patent/s and develop further unique approaches.
If you had to think about the intersection of AI/ML/Big Data, there are probably new PATENTABLE techniques. There are already a large stack of filed patents in this space.
Search for specific techniques that already have patents filed.
https://www.google.com/patents/US8700607 images as examples for documenting algorithms.
What is it that will determine what is great NEXT?