Weconet Experience Lab

  • For group (10-15 persons) please register
  • Organized with Weconomics in Eindhoven at the High Tech Campus
  • If you have enough participants, a date will be set
  • Click here for an impression of our experience lab
  • Before visiting our lab, we advise you to first follow our introduction webinar
  • In-company/customization is also possible, please contact us

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Welcome
Welcome to our experience lab on the High Tech Campus in Brainport Eindhoven. Within this experience lab there is (in a non-technical way) particular transformation focus to perspective change, system leadership, transition and relevant technology (such as: internet of things, sensoring, digital twins, blockchain, smart contracts, data logistics, artificial intelligence, together also known as called the digital assembly line). Here you can discover, become aware, absorb knowledge, develop skills, get to know the latest tools. everything you need for your transformation to a sustainable, digital, decentralized and more humane future.

Summary

  • Understand why we need perspective change, system leadership, relevant technology and transition
  • Know how you can use data driven organizing to comply with CSRD (Dutch) in an ecosystem
  • Understand the relationship between data-driven organizing and generative AI (Dutch)
  • Learn about ecosystems, digital twins, tokenization, IoT, blockchain, data logistics, smart contracts and the AI assembly line
  • Discover breakthrough business- and operating models
  • Unlock opportunities and shape a durable, digital and decentralized world
  • Meet professionals, projects, startups and the transformation leaders driving innovation
  • Get a behind-the-scenes, look into the Weconet Innovation Center
  • Network and meet other partners and alumni of our talent programs

A Harvard Business Review article makes it clear: “It’s problematic when companies decide to embark on a digital transformation agenda without having a clear definition, let alone vision, for what it means. The fundamental meaning of transformation is not about replacing old technologies with new ones, or capturing high volumes of data, or hiring an army of data scientists, or trying to copy some of the things Google or Amazon do. In fact, the essence of digital transformation is to become a data-driven organization, ensuring that key decisions, actions, and processes are strongly influenced by data-driven insights, rather than by human intuition. In other words, you will only transform when you have managed to change how people behave, and how things are done in your organization

Introduction
The revolution of the ‘digital assembly line‘, that is what the experience lab mainly stands for. As with the introduction of the physical assembly line, crafts where brought together under one roof (factory), with the digital assembly line, different components are brought together within the experience lab. After all, the greatest gains cannot be achieved with even more technology, but by bringing together and organizing existing data technologies in the right way. In other words, generating data through sensors or cameras (IoT), for example, a reliable digital infrastructure to store this data (blockchain), make it accessible (data access tokens), and smart algorithms to analyze and enrich this data (AI). Complicated? Not at all if you experience it!

In the experience lab participants can see that from a new perspective, a different way of organizing data, and consciously focusing on business, social innovation and behavioral change, there is a lot to be gained.

Opening by Rob van Gijzel
On April 12 2022, Rob van Gijzel, former mayor of Eindhoven and chairman of the Dutch Blockchain Coalition, opened the lab (impression in Dutch). The experience lab was set up partly thanks to a contribution from the municipality of Eindhoven. Within the lab, future-driven leadership and data-driven organizing with the digital assembly line plays an important role. Just like a hundred years ago with the physical assembly line, ecosystems in the Eindhoven region now play an important role in open innovation.

Future-driven Leadership
As an experienced professional, you will increasingly have to deal with the transformation to a durable, digital and decentralized organization. We now know that not everything is possible everywhere. You will increasingly have to deal with, for example, CSRD obligations and the SDG development goals. But how do you convert these goals into concrete actions within your organization with Generative AI at its core for instance? What leadership do we need for this? And are you that future-driven leader, do you have the right DNA for this? What impact can you have if you learn more about the analysis, theory and new business and operating models? What do you need to know about new data technologies and concepts such as the digital twin, blockchain, IoT, and AI; combined into a digital assembly line? And can you let go of dogmas and paradigms? You can probably better organize generative AI if you let go of your dominant organizational logic and start collaborating smarter in ecosystems.

The experience lab makes future-driven leadership concrete. How do you organize a sustainable prosperity through the use of new business models and data technology? A theme more topical than ever. An unsustainable society in the ‘here and now’ is also an unfair society for the ‘there and later’. An important transition that we will experience in the ‘turbulent 20s’ of this century is the transition from a system aimed at increasing prosperity to a system aimed at making what we have more sustainable. To achieve this, we will have to make more time available for sectors and themes where there are currently shortages, such as healthcare, education, security, democratization, the circular economy, sustainable energy, agriculture and climate. The time required for this can be gained in offices. By developing brave leadership, new systems and the use of relevant technology, we prevent (digital) waste, we become more productive and we have to do less office work. We can spend the surplus on making our prosperity more sustainable. After all, sustainability not only has to do with material things, but also with what we as humans spend our most precious possession (time) on.

Data-driven organizing
More and more organizations are becoming data companies. Only organizing data can be much more productive. For example, consider a date of birth. It is now stored in dozens of places. In principle, this should be (logical seen) in one location if the access to it is opened up correctly. Data-driven organizing with the digital assembly line ensures less digital and human waste. We can use this surplus for improving return on investments in combination with organizing a sustainable prosperity.

But what are data and how do you organize the supply and demand, the production and consumption of data? You cannot directly see, smell, hear or feel data. That is why the experience lab makes data visible and human. In the lab, we not only show that data technologies are interesting for almost everyone, but we also show more specifically that it is precisely the combination of data technologies that offer new solutions.

We also show that applying data-driven organizing requires a fundamentally different way of thinking and design. Data and data flows are simulated with building blocks such as sensors, computers, and even Lego  bricks and trains. We use these to make a new form of systems thinking and the principle of a digital assembly line more familiar. The lab is unique in that it initially focuses on the design side and organizational change. Disruptive data technologies such as blockchain and Generative AI only work if companies let go of their dominant logic and adjust their business and operating model.

Innovation now takes place too much and too often from a only one business perspective, and this often makes value chains unnecessarily complex and unproductive. In the experience lab, you can see that business and social issues can be solved more easily by simply organizing data and making it work for itself.

What can you expect:
When you visit our inspiration and simulation lab, you can expect the following after consultation::

  • data wisdom an literacy with Lego bricks: understanding what data is, how to organize it
  • introduction Data-driven Organizing, Blockchain, Generative AI etc.
  • explanation AI assembly line (visualization)
  • demo about blockchain, smart contract and AI simulation games
  • inspiration sessions (think of a Masterclass)
  • demos: presentation of anonymized cases (for example: HR and the assembly line)
  • explanation of various sensors to capture and retain facts
  • roundtables, thought expeditions and Harvard cases
  • apply community model canvas and community building simulation
  • demonstrations of solutions such as elements.cloudArchimate en Threefold.io

How can you participate?
The lab regularly offers introductory and exploration sessions for individuals. We then put together a program from the above components. In half a day you will discover what data are and how you can best organize it, not so much within your organization, but within a supply chain or better ecosystem. In addition, we offer packages for organizations or groups of professionals in which you can, for example, be informed in a day about the latest developments in the field of modern leadership, new organizing and the AI assembly line. We then draw up a program together, based on the above components. After that, we can, for example, shape a transformation program together.

Visit the experience lab
If there are enough participants, the lab is open for an introduction (type of tasting) or a date will be set in consultation. You do have to register. After registration you will receive further information and we will set a date together. If you want to participate as a group, please contact us.

In addition to this experience lab, we also organize customized meetings for groups. Ask about the possibilities and costs. Would you like more information about our experience lab? Then please contact us.

tags: lab, lab_eng