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Ecosystem Development Workshop 2.0 – From Vision to AI-Driven Reality

5/2/2025

 
From Startup Commons to Digiole: The Evolution of Ecosystem Development
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In the past, as Startup Commons, we conducted Startup Ecosystem Development Workshops worldwide (30+ in the past 10+ years), helping regions assess, structure, and enhance their startup environments. Our work provided frameworks for data-driven decision-making, policy development, and collaborative innovation support, ensuring that startup ecosystems had the right foundations to thrive.

Now, at the beginning of 2025, through our transition to Digiole (which now encompasses Startup Commons), we have fully embraced the AI-driven world. We not only have market-validated use cases to share but also simple, effective ways for any ecosystem to get started with AI-powered transformation.

It’s time to bring back the successful workshop approach, but now with a fully updated agenda, methodologies, and solutions—aligned with the latest AI-enabled innovations. This Ecosystem Development Workshop 2.0 combines decades of expertise in startup ecosystem development with cutting-edge insights into how Agentic AI can revolutionize economic growth.

A Look Back: The 2017 Recommendations That Predicted the Future
While AI-driven ecosystems might sound like a new concept, the reality is that we advised startup ecosystems as early as 2017 to begin preparing for this shift. At the time, we proposed digital infrastructure that would:

✅ Capture real-time data for startup ecosystem performance
✅Enable intelligent matchmaking between founders, investors, and ecosystem support organizations
✅ Facilitate a transparent, AI-driven dashboard to guide policy decisions
✅ Develop AI-assisted recommendations for startup funding and support


Our recommendations included three, five, and ten-year strategies for these ecosystems, outlining the digital transition that needed to happen to stay competitive globally.

Looking back, it's both funny and not funny to see how many of these recommendations were never implemented—despite their alignment with what’s now happening today. Had they been acted upon, these ecosystems would have been years ahead of their peers instead of scrambling to catch up.
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We can now pinpoint exactly what could have been achieved and use that to demonstrate how AI-driven strategies can still be implemented—just at a much faster pace.

Ecosystem Development Workshop 2.0 – What’s New?
Our new workshop format is designed to take startup ecosystems from legacy models to AI-driven systems in a practical, actionable way. Key topics include:

🔍 Identifying the Biggest Bottlenecks – Understanding the real friction points in your startup ecosystem and how AI can remove inefficiencies, improve decision-making, and enhance the founder journey.

🎯 Starting with a Small, Focused AI Use Case – Learning how to implement AI-driven solutions step by step—whether it’s an AI assistant for startup programs, an automated FAQ system, or an AI-powered ecosystem knowledge base.

🔄 AI as an Iterative Learning Process – AI isn’t a one-time fix; it’s a continuous improvement engine. Discover how to collect and analyze ecosystem data, spot trends, and refine AI-powered services over time.

📊 Building AI-Enabled Ecosystem Insights – Developing a self-improving knowledge base where every interaction with entrepreneurs and stakeholders feeds back into a smarter ecosystem.
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🤝 AI + Human Collaboration – Exploring how AI can enhance—not replace—human interactions, freeing up mentors, advisors, and policymakers to focus on higher-value support for startups.

Time to Move Forward
While we can reflect on what could have been, our focus is now on what’s next. The opportunity is still here—but the speed of action matters more than ever.

If you’re part of a startup ecosystem, accelerator, incubator, or government program, it’s time to rethink how your ecosystem operates and bring AI-driven intelligence into your framework.

💡 Want to learn how? Let’s talk.
📩 Reach out to explore how we can tailor the Ecosystem Development Workshop 2.0 to your region’s needs.

Togo startup ecosystem mapping project - A Summary

20/11/2024

 
Uncovering key components for the development of the startup ecosystem in Togo
​We are excited to share with you the journey and key insights from our recently completed project aimed at strengthening Togo’s startup ecosystem. Our efforts focused on assessing the Togolese startups ecosystem and setting the foundations towards a dynamic startup ecosystem mapping to minimize the human manual data collection intervention in order to bring more real-time and accurate understanding of the startup environment in Togo. Here’s a summary of the project.
📊 The Project In Numbers
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🔄 The Process
​Taking the Startup Commons Startup Development Phases Framework as the reference model for the project, the main activities of the project were:
  1. Identifying Key Ecosystem Stakeholders: entrepreneurs, startups, support organizations, financiers, investors, events, media, corporates, the educational system, and more.
  2. Mapping Ecosystem Stakeholder Interactions: we explored how these actors interact, revealing key relationships between entrepreneurs and the supporting organizations and the resources they rely on.
  3. Analyzing and Capturing Information: we identified what types of information is captured during interactions, how it is gathered, how accessible and shareable it is and its relevance to tracking ecosystem performance.
🏅 One Differential Deliverable
Beyond identifying the current situation, gaps, and future roadmap for the Togolese startup ecosystem, a key output is the blueprint of the ecosystem information repository​, which will serve as the heart and core of the system. This repository will:
  • Aggregate, store, process, and distribute data, ensuring a robust and scalable infrastructure to support the ecosystem’s dynamic needs.
  • Provide a unified and comprehensive view of the ecosystem by integrating various data sources, enabling informed decision-making, and fostering growth and development.
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💡 Innovating in Consulting
​As part of our commitment to innovation and accessibility, we set up an AI Assistant powered by Digiole that consolidated all the accumulated knowledge from the project—including reports, presentations, recorded calls, and more. This AI Assistant, customised according to the local context, ensures that every stakeholder has 24/7 access to project insights.
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With the AI Assistant, the project stakeholders can:
  • Ask any question about the project and receive immediate answers on topics ranging from data insights to strategic recommendations.
  • Access key information at any time, without waiting for team members to respond.
  • Overcome language barriers, as the AI Assistant supports both English and French, providing clear communication for Togo’s stakeholders.
  • Track each interaction, including the questions asked and the responses provided, while flagging any questions that weren't properly addressed. This offers us a valuable feedback loop, allowing us to continuously improve the assistant’s knowledge base and ensure that every question receives an accurate and comprehensive reply.

​Additionally, when integrated with the ecosystem information repository, the AI assistant will be able to answer questions not only based on existing information but also on new information as it flows into the repository. Simultaneously, it will capture fresh insights directly from its interactions, all in real time. This transforms the AI assistant into both a source of up-to-date information and a tool for collecting data at the ecosystem level. By deploying 10, 100, or more AI assistants, you can scale this process, enhancing the distribution and collection of information to cover a wider array of use cases and interaction points.

If you’re interested in learning more, initiating a similar study in your territory or collaborating to implement these solutions, please reach out to us.

Solving Ecosystem Data Challenges with AI Assistants and a Unified Knowledge Base Webinar

20/9/2024

 

Discover how AI-powered tools are transforming ecosystem data management and fostering innovation

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Ready to supercharge your startup ecosystem? Our latest webinar, "Solving Ecosystem Data Challenges with AI Assistants and a Unified Knowledge Base Repository," is now available on YouTube.

We dive into game-changing strategies for ecosystem management that you won't want to miss.
Learn how these cutting-edge tools overcome fragmented understanding, streamline information flow, and provide real-time insights for smarter decision-making.


We cover the power of AI assistants in ecosystem functions, the creation of a unified knowledge base, and the benefits for all stakeholders. You'll also get the scoop on data-driven ecosystem management, key performance indicators, and real-world success stories.

Whether you're an entrepreneur, investor, policy maker, or ecosystem supporter, this webinar will equip you with the know-how to leverage AI and data management for unprecedented growth and innovation in your startup ecosystem.

Don't miss out on this game-changing info! Watch the full webinar now and learn how to transform your startup ecosystem with AI-powered tools and unified data management.



Want to stay updated on our latest insights and webinars?
Subscribe to our YouTube channel:
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Join us in shaping the future of startup ecosystems – where data-driven insights fuel innovation!



AI Assistants for Entrepreneurs In Alberta, Canada

21/5/2024

 
Digiole Partners With The Regional Innovation Network of Southern Alberta (RINSA) To Launch AI Assistants For Entrepreneurs
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Helsinki, 22nd May 2024 – Digiole, a leading provider of innovative AI solutions for startup ecosystems, is thrilled to announce a pioneering collaboration with Economic Development Lethbridge (EDL) and the Regional Innovation Network of Southern Alberta (RINSA) to deploy the first AI Assistants designed specifically to support entrepreneurs within their region.

​This initiative marks a significant milestone in our mission to optimize entrepreneurship journeys by making use of artificial intelligence solutions.

The AI Assistants will serve as a robust 24/7 resource for entrepreneurs, providing them with critical support in relevant areas for entrepreneurs. For needs such as business planning, financial management, and market analysis.

This initiative will help to streamline entrepreneurial processes, enabling business owners to focus on growth and innovation.
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​“We are excited to partner with EDL and RINSA on this groundbreaking initiative that just wants to make the ambitious vision of EDL and RINSA come true”, said Oscar Ramirez, CEO of Digiole. “Our AI Assistant technology is designed to offer support to entrepreneurs and to also establish the foundations for EDL and RINSA towards a data-driven entrepreneurship support for a more effective allocation of resources, and this project will allow us to refine our technology to meet the unique needs of entrepreneurs in Southern Alberta.”
By working closely with EDL and RINSA, we are creating a tailored solution that truly resonates with the entrepreneurial community and providing business retention and expansion solutions to SME’s.

​EDL and RINSA are equally enthusiastic about the collaboration:
"We are thrilled to support this initiative that leverages new AI technologies to empower our entrepreneurs", said Renae Barlow, VP of Entrepreneurship and Innovation at Economic Development Lethbridge. "By continuing to lead in implementing emerging technologies, we enhance and support the development and commercialization of entrepreneurial ideas, furthering our commitment to fostering innovation and growth in our community."

About Digiole

Digiole is a global technology firm specializing in advanced digital interoperability solutions that facilitate ecosystem business models across various industries. With over a decade of expertise in fostering innovation and entrepreneurship ecosystems worldwide, Digiole offers consulting and training services to over 30 ecosystems. Digiole solutions are designed to seamlessly connect ecosystem actors, platforms, and data, enhancing ecosystem interoperability in a cost-effective and sustainable manner.

About Economic Development Lethbridge & RINSA

​Economic Development Lethbridge (EDL) is an independent, not-for-profit organization dedicated to fostering economic growth and prosperity in Lethbridge, Alberta. With a mission to strengthen and develop the local economy, EDL initiates and facilitates proactive economic development strategies, promoting Lethbridge as an excellent place to live, learn, invest, and do business. The organization collaborates with a wide range of stakeholders, including local businesses, government bodies, and educational institutions, to create a vibrant and diversified economic base that supports both traditional industries and emerging technologies. EDL also owns and operates Tecconnect, a technology incubator that provides vital support to tech startups and entrepreneurs, further bolstering the region’s innovation ecosystem.
 
As a founding member and active participant of the Regional Innovation Network of Southern Alberta (RINSA), EDL plays a crucial role in providing resources, mentorship, and connections to help startups and small businesses grow and succeed. RINSA is a collaborative network that brings together various partners, including post-secondary institutions, government agencies, rural and Indigenous economic development organizations and industry leaders, to create a supportive ecosystem for innovation. It focuses on fostering a culture of entrepreneurship, providing access to funding and expertise, and promoting the commercialization of new technologies and business ideas.
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Case study for entrepreneurship support organizations: Team Building & Shareholders Agreement AI Assistant

7/5/2024

 
An EOS AI Assistant solution for entrepreneurship support organizations (incubators, accelerators and ESOs in general) to help their entrepreneurs to easily access knowledge about  the key elements in building the founding team and team commitment, based on the deep entrepreneurship resources available at Startup Commons.
The Founders Shareholders' Agreement & Team Building Workshop by Startup Commons, which has been extensively consumed globally for over a decade, has been consolidated now into the first AI Assistant, covering the the team building and shareholders agreement AI topic.
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Still in its early stage and with very limited knowledge, this AI Assistant has been mainly fed with webinar transcriptions and from now, will allow entrepreneurs to quickly get answers to some of the most relevant questions when an entrepreneur is building the founding team and team commitment:
  • How to look for and communicate when looking for a co-founder?
  • What are the big things to find alignment and how to talk about these topics?
  • What kind of contracts should you draft or sign before you register a company with other people/another person and at what point should you start to consider those?
  • How should we divide our ownership? What is the best logical way?
  • For how long should this contract last?
  • What if someone from your team leaves the company before the contract ends?
  • Can you modify the contract if something doesn't go as you planned, and how do you go about doing that?
  • What are some of the most relevant "what if" situations that may occur and how to handle those?
  • Investors and SHA - The role of shareholder agreement in a fundraising process?
  • Various SHA agreement types and what are the differences?
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​What to Expect from Team Building & Shareholders Agreement AI Assistant from an entrepreneurship support organization perspective
  • Quick Setup: Deployed in less than a week
  • Focused Expertise: Directly built from Startup Commons webinar's transcription, it offers specialized knowledge on the discussed topics.
Pros: 

✔️ Instant access to the knowledge base
✔️ On-demand, interactive support to explore specific queries in multiple languages.
✔️ Based on the given information, the advice provided is well-grounded
✔️ Easily integrate the AI on any website.
✔️ Gain insights about the questions asked by the audience

Cons:

❗Limited scope, as it only contains information from one webinar.
❗It does not cover queries beyond the discussed topics.
​What to Expect from Team Building & Shareholders Agreement AI Assistant from an entrepreneur perspective
Pros: 

✔️ Time-saving
✔️ 24/7 availability
✔️ Immediate Access to Information
✔️Consistent Advice:

Cons:

❗Limited Range of Topics
❗Lack of Depth in Content
❗Inability to Handle Complex Queries
​Key Statistics and Insights For The Entrepreneurship Supporting Organizations Derived From Users Interactions
One of the key features of the Team Building & Shareholders Agreement AI Assistant is that you will also be able to know which questions this AI has been able to answer adequately and what the gaps are in the knowledge, which will allow us to improve it and provide better mentoring to entrepreneurs.

The video below is a screen recording of the detailed records of interactions in chronological order, showing:
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  • Date/Time (timestamp of the interaction),
  • Statement (user's query or statement),
  • Answer (the response provided to the user) and
  • Score (a numerical score that helps determine which pieces of retrieved information are most likely to contribute meaningfully to generating a useful and accurate output for the user. It ensures that the generative model focuses on the most relevant data, improving the quality of the responses).

Additionally, in order to guarantee privacy in this test mode for the AI Assistant, relevant information from the user such as IP address, geolocation, browser type, operating system, device type, cookies, time zone or language preferences has been disabled.
In just over 10 days, some fundamental actionable insights can be extracted that will immediately contribute to improve the AI Assistant performance and therefore enhancing the user experience.

Let's do, as a first step,  a score summary:
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Score Summary:
  • Count: 61 scores were analyzed.
  • Mean: The average score is approximately 0.336.
  • Standard Deviation: The scores vary with a standard deviation of about 0.227.
  • Minimum Score: The lowest score is 0.0.
  • 25th Percentile: 25% of scores are at or below 0.21.
  • Median (50th Percentile): Half of the scores are below 0.34.
  • 75th Percentile: 75% of scores are below 0.54.
  • Maximum Score: The highest score is 0.72.

Actions to Consider:
  • Improvement of Low Scoring Responses: Identify the cases where scores are particularly low (near 0) to understand if the responses are off-topic, inaccurate, or not helpful. If they are inaccurate, we can directly update my knowledge base by providing the content that is demanded.
And then, let’s analyze common phrases to understand the actual questions or themes better. ​​

Here are some of the most common phrases found in the "Statement" column, which hint at recurring topics or questions:
  • "empresas emergentes" (emerging companies) - Indicates frequent discussions or inquiries about startups.
  • "company culture" and "foundational values" - Suggests a focus on establishing strong cultural foundations in early stages of business development.
  • "qué medidas" (what measures) - Likely relates to what actions or strategies can be implemented in specific scenarios.
  • "strong company" and "early stages" - Points to concerns about building a robust company from the beginning.
  • "cultura empresarial" (corporate culture) - Indicates interest in how to develop or maintain a good corporate culture.

These topics may suggest that users are often interested in strategic advice for startups, particularly about building a strong foundational culture and implementing effective business strategies.

Actions to consider:
  • Resource Development: Based on these common themes, we would consider reviewing the content addressing those questions and developing focused content in any format (guides, FAQs, or webinar transcription) that address these frequently asked questions more comprehensively.
  • Feedback System Improvement: If these questions are repeatedly asked, it might indicate that existing responses or resources are not sufficiently addressing user needs or that the questions are globally common. Reviewing and enhancing these could be beneficial.
​Conclusions
By simply putting out this Team Building & Shareholders Agreement AI Assistant for some days, we are now able to capture insights that ​offer a multitude of strategic advantages:

  1. It enhances entrepreneurs knowledge, allowing for a deeper understanding of their needs and preferences specifically on the topic matter, which in turn informs better resource allocation and this AI Assistant development.
  2. Such a system improves customer service by refining response quality and efficiency, providing personalized experiences at scale, and maintaining high service levels.
  3. This not only gives a competitive edge by identifying market trends and adapting to them proactively but also boosts operational efficiency through a real-time feedback loop.
  4. Moreover, it enables scalable solutions that manage increasing interaction volumes cost-effectively

Therefore, this approach not only improves entrepreneurship support operations but also fundamentally enhances how support organizations engage with and serve their entrepreneurs, driving growth and satisfaction through test-measure-learn loops.
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Introducing Ecosystem 180: using AI to optimize startup journeys

11/12/2023

 
Discover how Ecosystem 180 revolutionizes startup ecosystems by offering advanced, AI-driven tools that surpass traditional methods, enhancing efficiency and innovation
​​In a world where innovation, entrepreneurship, and startup ecosystems are celebrated as the dynamic powerhouses driving our societies forward, a glaring paradox emerges. These hubs, brimming with technology, innovation, and brilliant minds, are paradoxically mired in outdated operational practices. Why, in 2023, do our ecosystem operations and technology strategies resemble relics from the 1980s? Across the globe, every nation, irrespective of its development status, faces this anachronism.
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The disconnect is stark and unsettling. The AI revolution has transformed industries, yet the technological underpinnings of our economic development initiatives remain woefully archaic. This chasm exists at every level, from international financiers to local economic development units. The private sector, while innovative in other realms, lags in ecosystem development, constrained by the necessity of public-private collaboration in establishing foundational infrastructure.

But there's a shift on the horizon. The era of multi million-euro barriers to advanced digital platforms is ending. A new paradigm emerges, one that synergizes the agility and global reach of the SAAS model with the bespoke, lock-in-free freedom of custom-built solutions. This approach isn't just strategically smarter; it's a cost-effective, time-efficient leap into the future of ecosystem development.

In the realm of startup ecosystems, effective data management is not just a necessity – it's a game changer. Existing tools for startup ecosystem development have offered partial solutions, but often at the cost of narrow view, flexibility, integration, and real-time data utilization. These limitations have led to disjointed experiences, data silos, and inefficient resource utilization, hindering the true potential of entrepreneurial ecosystems, and what worries the most, making startup progress slower.
🔍 The Shortcomings of Traditional Tools:
  • Limited Integration: Many existing solutions lack seamless interoperability between different applications and systems.
  • Data Silos: The prevalence of isolated data systems often leads to inconsistent and incomplete information across the ecosystem.
  • Customization Challenges: Custom built solutions or off-the-shelf products often come with high costs, rigid structures, and lack of customization, leading to vendor lock-in scenarios.
  • Real-Time Data Accessibility: Access to real-time, actionable data is often limited, impacting decision-making and responsiveness.
🚀 Introducing Ecosystem 180: A New Era in Assisting Startup Ecosystem Development

That's where Ecosystem 180 steps in, breaking the mold with its holistic and innovative approach. Designed specifically for innovation and entrepreneurship ecosystems, it transcends these challenges by offering:

🌐 Global Data Repository: A centralized source for all ecosystem data, promoting consistency and eliminating data silos within and between ecosystems
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🔗Seamless Integration: Unprecedented interoperability among applications, enhancing efficiency and user experience.

🤖 AI-Driven Insights: Leveraging generative AI for personalized support and real-time data analysis.

🛠️ Customization and User-Friendly Design: Tailored to align with your ecosystem’s unique branding, enhancing user interaction and satisfaction.
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🔒 Robust Security and Compliance: Adherence to global regulations like GDPR, ensuring data privacy and security.
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🌟 Why Ecosystem 180 Matters to You

We invite you to explore how Ecosystem 180 stands out from existing solutions. Our comparison table below illustrates the transformative capabilities of Ecosystem 180 in comparison to existing solutions.
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A fitting solution for the filed lead by public sector decision making logic, where everyone is looking to operate from “past perspective”, looking for proven best practises between each others, to non-existing solutions, because world simply moves fast forward. This future needs to be built together and someone has to lead the way. Data infrastructure level solutions don’t just magically appear as a validated best practise that one can copy. But it has emerged as a simple starting kit that anyone can start from today. 

Join us in embracing this innovative journey toward a more connected, efficient, and forward-thinking future. Let's discuss how Ecosystem 180 can redefine the landscape of ecosystem management for you. Your insights and participation are key to shaping this new era!

Demo Video: Ecosystem 180º plan: ecosystem advisor AI, mapping & insights dashboard

24/11/2023

 
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Start generating more innovations and growth, faster. By optimizing entrepreneurship journeys.
Begin a journey of transformation and acceleration in your startup ecosystem. Ecosystem 180º plan, is designed to simplify the entrepreneurial journey, providing startups and entrepreneurs with timely access to essential resources. By understanding and responding to their real-time needs, Ecosystem 180º enables more strategic allocation of development resources, thereby fostering faster and more effective growth.

Main Features of Ecosystem 180º:
  1. Accelerated Access to Information: Gain swift access to vital knowledge and resources, significantly speeding up the progress of startups.
  2. Enhanced Ecosystem Navigation: Simplify the journey within your local startup ecosystem, making it more efficient and less daunting for new ventures.
  3. Factual, Real-Time Insights: Obtain valuable insights into the actual needs of entrepreneurs and other ecosystem players. This data-driven approach allows for precise and impactful allocation of your ecosystem development budgets.

Watch this demo to learn how you can transform the way you are orchestrating and developing your startup ecosystem.
WATCH VIDEO HERE
For further information about Ecosystem 180, check FAQs out or to schedule a one-on-one consultation, please reach out to us here. You can also request access to our demo​ to test it before any meeting with us. 

The EcosystemOS team is ready to assist you with any queries and help you get started on this transformative journey for your startup ecosystem development plans.

Webinar Recording - Using machine learning to enable automation & intelligence in your ecosystem

9/6/2021

 
A machine learning prototype of the use case we are working with for initiating ecosystem intelligence implementation
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Author: Digiole Oy
​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
080621_-_ecosystemos_protolab_1.pdf
File Size: 3513 kb
File Type: pdf
Download File

ecosystemOS protolab webinar

1/6/2021

 
We are presenting the opportunities around machine learning to enable more automation and intelligence in your ecosystem
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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. 

Join us on Tuesday, June 8 at 3 p.m. EEST for a 60-minute webinar with the ecosystemOS machine learning team. In the ecosystemOS protolab 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.
Register Now

Open Standard Data Model  v 0.2.0 - Startup events

13/5/2021

 
The ecosystemOS tech team is happy to update the open standard data model to version 0.2.0 to aggregate and distribute startup events data. 
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author: Digiole Oy, source: https://www.ecosystemos.com/

What's new?

  • Country attribute was added on the eventLocation object to specify the country where the event is organised
  • isRemote attribute was added on the eventLocation object to add a flag to indicate that the event is online
  • New eventVenue object was added to represent the physical location of an event. 

Usage

  • Event organisers will be able to specify detailed information to attendees about where the event will take place, how to get there and how to contact the venue
  • Ecosystem builders will be able to store records for all of the venues hosting events at ecosystem level, simplifying events information view, eliminating repetitive data entry and improving location accuracy
Check the current open standard data model version details
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.
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