Coupling more accurate local data with user context and other sources of information will enable developers to create new algorithms to bridge the digital and physical worlds.
Mood-tracking apps already exist but the team from the Cambridge Computer Laboratory think this is the first time that user-input data and phone information sources have been combined.
In San Francisco, TalentBin has been focusing chiefly on software coders, pulling userdata both from heavily trafficked sites and also from niche sources such as BitBucket and RubyGems.
ClearStory Data, a startup that has not revealed its capabilities, has declared that it will be in the business of providing a platform and user model that makes it easy and intuitive to find high value external data from numerous trusted sources and cross-pollinate this data with private and corporate data for fast, richer analysis.