​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.

If there is a data model you would like us to improve or add, leave your request here and we will review to add it to our development plans to make it ecosystemOS compliant for global connectivity with other ecosystems. Or you can also subscribe to our ecosystemOS newsletter to keep you updated about the new data model releases.

The ecosystemOS tech team has started the formal process of iteratively releasing open standard data models for the context of innovation entrepreneurship ecosystems. We are making public the r​oadmap for open standard data model, covering domains and objects that are part of the innovation entrepreneurship landscape, providing details about entity types, attributes, relationships, integrity rules, and the definitions of those objects so that any ecosystem can iteratively use them for:

• Helping build common understanding of business data elements and requirements
• Providing foundation for designing databases
• Facilitating avoidance of data redundancy and thus prevent data & business transaction inconsistency
• Facilitating data re-use and sharing
• Decreasing development and maintenance time and cost

A first use case enabled with this first simple model is a global startup events portal to aggregate and distribute startup events data​. It provides a standards-based representation that can be used to encode and exchange events data in the context of innovation entrepreneurship format.

if there is a data model you would like us to improve or add, leave your request here and we will review to add it to our development plans to make it ecosystemOS compliant for global connectivity with other ecosystems. Or you can also subscribe to our ecosystemOS newsletter to keep you updated about the new data model releases.

It is the smallest possible unit of bundled items, that make logical sense to be combined together, viewed as business, designers and developers alike.

This is a webinar organised and hosted by Digiole in which we presented the tools that are part of ecosystemOS stack: the underlying components of any ecosystem digitalisation project. Valto Loikkanen, senior advisor and cofounder of Digiole, ran the session, guiding participants through the following topics:

• Key definitions and terminology
• Tools for product design, communication and workflow management, front-end development, back-end development, testing & QA and Hosting
• Data Flow Model
• Strategies to get started​

 The presentation material that was used during the webinar is also available below