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    Track 4: Big Data and Circularity

    Track 4 shows the future potential of digital transformation and takes a holistic look at how we could use it to work towards circular business models and products. We will combine all we have learned so far and will then add knowledge on big data and waste management systems, so we can start answering important strategic questions like:

    • How can we create a holistic workflow for both digital design and manufacturing that is fully automated based upon big data?
    • How can we gather relevant big data both inside and outside our company?
    • How can we turn data into actionable information?
    • How can we translate aesthetic preferences into automated design systems?
    • How can we create a holistic digital system that fully optimizes what we make as a company, including both the product's beginning and end of life?
    • How can we use artificial intelligence to minimize or even eliminate industrial waste?
    • Which international data systems exist that track consumer waste streams that could be used as a resource for footwear?
    • Which systems exist that give insight into where we can find the most sustainable natural resources in our region? How could we automatically find the best partners to buy our waste streams?

    REGISTRATION: Track 4 is just $75. BUNDLE DEAL: All 4 tracks are just $250. Bundle option is available when you register for each track


  • Video Class 1: Big Data

    The first video class is all about data: which data to collect, how to collect it, how to analyze it, and how to turn it into actionable information.


    Video Class 2: Generative Design Systems

    Now that we have looked at how to structure data streams, in this video class we will continue to look at how you could feed this data into automated design systems.


    Video Class 3: Using Data to Optimize Cradle to Gate

    In the final two classes, we will focus only on using data to improve your carbon footprint. In this video class, we will look at how to optimize your internal process: “cradle to gate”.


    Video Class 4: Using Data to Close the Loop

    In this final video class, we will look at which options are currently available to use data to build your end of life processes for recycling, biodegradation, or remake.

  • Track 4 Expert Trainers

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    VP Footwear Research, Volumental

    Ales has over two decades of experience applying 3D foot scanning technology to the footwear industry, and studying large (millions) datasets of 3D footscans. As one of Volumental’s earliest employees, he has been the chief architect behind Volumental’s revolutionary fit engine, an AI-based footwear recommendation software powered by Volumental’s database of 10 million foot scans called ‘Volumental Recommend’. He recently wrote a scientific paper, analyzing 1.2 million foot scans from North America, Europe, and Asia, published in Nature (Scientific Reports).
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    Professor of Fashion Research and Technology, Amsterdam University of Applied Sciences

    What if you could develop a system that creates optimal shoes for each individual consumer, involving participants from various disciplines—from doctors to designers to the wearer—improving those shoes based on actual user data that is gathered with sensors? In a nutshell, this is what Troy Nachtigall researched for his PhD Thesis "Materializing data". He will be sharing his insight on what is needed to make such a system a reality, covering technological, medical, creative, and legal aspects.
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    Digital Strategy Director, PTTRNS.ai

    Patterns.ai is an artificial intelligence company specializing in digital personalization of consumer lifestyle products. The company has developed groundbreaking optical recognition software that could be used for a wide range of purposes in fashion. You will hear how this technology can be applied to help designers quickly select the right last or sole mold from archives of existing tooling, saving the cost of unnecessary production of new tooling and lowering companies' footprint.
  • Sponsors

    Thank you to our generous event sponsors!

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