A machine learning prototype of the use case we are working with for initiating ecosystem intelligence implementation
As an ecosystem grows and evolves, more digital resources and services are created to support startups and entrepreneurs in their different phases, new people decide to initiate the startup journey, more support is offered, more interactions among ecosystem actors are generated, etc. All of them are scattered in different tools, applications and platforms, increasing the ecosystem builders’ needs to connect them to help ecosystem users navigate in this complexity. Doing this manually simply limits the scalability factor to orchestrate the ecosystem and therefore its capacity to provide and serve startups and entrepreneurs with the right answers.
In this webinar, we are presenting the opportunities around machine learning to enable more automation and intelligence in your ecosystem. We will give attendees a behind-the-scenes glimpse to get to know the use case we are working with for automated ‘startup development phases’ -labelling for startup events. Plus, you will see our current prototype work of this first machine learning use case.
The presentation material that was used during the webinar is also available below