Using machine learning to enable ecosystem automation & intelligence
We are presenting the use case: Automated ‘startup development phases’ -labelling for startup events with machine learning models
In the entrepreneurial landscape, the world is full of events catering for entrepreneurs and startups for networking and knowledge building. All these events are usually scattered through different platforms (eventbrite, meetup.com, facebook, bizzabo, etc.). However, quite often, there’s a mismatch between the audience and the event content leading to wrong expectations and therefore bad user experience.
How can we help startup event organisers to attract the right audience? How can we help startup events organisers to coordinate better with other existing event organisers? How can we help business creators to find the events fitting the phase where they are?
To address these challenges, we are designing, developing and testing prototypes for automatic system event classification and prediction, based on the current event information available in the different event management systems and Startup Development Phases and employing machine learning techniques.
Join the ecosystemOS machine learning team and get to know what we are cooking to fix this challenge, how it will work and when you can start using it.