Data Spaces Discovery Day

Business value of sovereign data sharing

Vienna | October 19, 2023

Let’s unlock the potential of data spaces and revolutionize your business! At Data Spaces Discovery Day in Vienna, we’ll dive deep into data spaces and explore their crucial business value. Join us to see innovation, collaboration, and growth converge.

Discover how data spaces fuel innovation, improve collaboration and drive digital transformation.
Get exclusive insights into successful data space implementations and learn first-hand how organizations are leveraging data spaces.
Recognize how sovereign data sharing enables new business models, streamline operations, accelerate decisions or facilitate strategic partnerships.
Learn from industry visionaries, thought leaders and renowned experts in keynotes and discussions.
Expand your network with industry leaders, data space experts and like-minded enthusiasts.

Register now!

Get to the event!

Opening

Günther Tschabuschnig

Günther Tschabuschnig

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Ute Burkhardt

Volkswagen

Welcome address

Florian Tursky

Florian Tursky

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Peter Švec

Peter Švec

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Benjamin Brake

How data spaces boost digital transformation

Keynote

Reinhold Achatz

Reinhold Achatz

Gaia-X

Keynote

How to use case: From business scenarios to successful data spaces

Keynote

Lothar Fischmann

Lothar Fischmann

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Networking | Coffee

Gaia-X 4 Future Mobility: Applications & services for overall mobility

Markus Ketterl MSG

Markus Ketterl

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Omega-X: An energy data space to boost the European data economy

Alberto Berreteaga Tecnalia

Alberto Berreteaga

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Datenraum Mobilität: Data space for tomorrow’s mobility

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Michael Schäfer

mobility data space

EONA-X: Transforming data into services for mobility, transport and tourism

Aylar-Kurbanova

Aylar Kurbanova

Aéroport de Paris

Dominique Epardeau

Dominique Epardeau

Aéroport de Paris

Tourism Data Space: Intelligent networking of data heralds tourism transformation

Fritz Fahringer

Fritz Fahringer

Tirol_Logo

Green Data Hub: Fight climate crisis with data spaces

Kai Kaiser

Kai Kaiser

Catena-X – Open and collaborative data ecosystem for automotive supply chains | Cofinity-X – How it is operated

Ute Burkhardt

Volkswagen

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Matthias Buchhorn-Roth

Discover the great data space projects of the event supporters

Exhibitor journey

Break

Parallel sessions

Stream 1

Stream 2

NOI Techpark: Data driven Decarbonizing the Brenner Pass

Roberto Cavaliere

Roberto Cavaliere

NOI Techpark

European Rail Data Space

Meike van't Hoen - Knorr Bremse

Meike van't Hoen

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Future Mobility:Virtual development & validation of autonomous driving systems

Markus Ketterl MSG

Markus Ketterl

msg

Tourism Data Space: Use Case Mobility

Christina Hubin

Christina Hubin

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Data driven climate action

Data Intelligence Hub: Share, process, analyze data on own terms while maintaining data sovereignty

nina-popanton

Nina Popanton

T-Systems

Philipp Reusch

Philipp Reusch

T-Systems

Green Deal Dataspace: Towards the optimization of circular economy and transparency of supply chains

Reinhold Achatz

Reinhold Achatz

champi4.0ns – the wood dataspace: Traceability through sovereign data sharing

Elias Lanbach

Elias Lanbach

Martin Riegler

Martin Riegler

Pioneering data spaces for agriculture

Marcin Plociennik

Marcin Plociennik

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Raul Palma

Raul Palma

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RE4DY: Manufacturing Data Networks

Roland Sommer

Roland Sommer

Live start of a Data Space: Circular Economy

Stefan Schafranek

Stefan Schafranek

Rafael Auer

Rafael Auer

Philipp Bodzenta

Philipp Bodzenta

Break

Parallel Sessions

Stream 1 – Functional considerations to take into account when setting up a data space

Stream 2 – Legal & operational aspects to be considered in data space

Data spaces: what is needed, how is it built – IDSA Rulebook as foundation

Julien_Adelberger_IDSA

Julien Adelberger

Peter Koen

Peter Koen

microsoft

Standard for data spaces – IDS Architecture & Dataspace Protocol

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Sebastian Steinbuss

How Gaia-X complements to data spaces – Gaia-X labelling & Gaia-X trust anchor

Pierre Gronlier

Pierre Gronlier

How open source realizes data spaces – EDC & EDWG

Peter Koen

Peter Koen

microsoft

Trust is key in a data space – IDS Certification

Sonia Jimenez

Sonia Jimenez

Data spaces interoperability: Insights from the field

Sonia Jimenez

Sonia Jimenez

Sonia Jimenez

Victor Mireles-Chavez

European Acts

Norbert Amlacher

Norbert Amlacher

Lawyer

Legal framework for data spaces

Söntje Hilberg

Söntje Hilberg

Lawyer

iSHARE trust framework for data spaces

Gerard van der Hoeven

Gerard van der Hoeven

Gaia-X in Austria – a specific view

Brigitte Lutz

Brigitte Lutz

Stadt Wien

How to build a community?

Lisa Kolar

Lisa Kolar

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Marcos Moschovicids

Marcos Moschovidis

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nexyo: Easy way for SME to implement a data space

Andreas Krimbacher

Andreas Krimbacher

Natascha Totzler

Natascha Totzler

Even more networking opportunities & room reconfiguration

Use Case Factory | Pitches of innovative data space scenarios

Agile stage session | Call to action: Join Data Spaces now!

Peter Koen

Peter Koen

microsoft

Maria_Barros_01

Maria Barrios

Marta Pont Guixa

Marta Pont Guixa

Cap Gemini

Andreas Krimbacher

Andreas Krimbacher

Pierre Gronlier

Pierre Gronlier

Sebastian_Steinbuss_IDSA_0544

Sebastian Steinbuss

Gerard van der Hoeven

Gerard van der Hoeven

Get together | Data Party

Hosted by:

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Co-organized by:

Supported by:

MONDRAGON ASSEMBLY EGOKIA

MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLAN Technical research center and member of IDSA

CHALLENGE:

EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.

SUCCESS:

Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.

BENEFITS:

NEW BUSINESS MODEL: A new business model based on AI services and a knowledge-based economy. RELIABLE AI SOLUTIONS: A "standardized", flexible, and secure solution to break data silos to share and complete AI assets and processes between trusted organizations and production plants. Measurable benefits can be listed as: Up to 30% quality on models thanks to the application of federated learning techniques, reduce inversion and time to market on IA-based solutions or lower communications loads. STANDARIZED DATA SPACE – The organization is ready to take part in the knowledge economy with other entities, domain experts, and technology providers.

COMPONENTS:

Data Space connectors 8.0.2 Metada Broker 5.0.3 Identity Provider 1.6.0

Increased visibility of order delivery process

VTT | Wärtsilä | Uwira

CHALLENGE:

The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.

SUCCESS:

The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.

The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.

BENEFITS:

The established data space solution has the potential to significantly enhance transparency between the OEM and the supplier. This gives rise to several potential benefits, including:
Effective Communication: Transparent communication helps in conveying accurate information about product specifications, requirements, changes, and timelines.
Risk Management: Sharing information about potential risks, such as changes in demand or design modifications, allows suppliers to proactively address these issues. Furthermore, in times of disruptions, such as supply shortages or unexpected market shifts, transparent communication helps both parties respond more effectively.
Cost Efficiency: Transparent communication allows both parties to work together to find cost-effective solutions.

COMPONENTS:

IDS connectors - serve as the communication interface linking the two companies and their existing IT systems. With IDS connectors, a data provider can define the rules and conditions (usage policies) under which data are shared with a data consumer.
DAPS - enables connectors to authenticate themselves using X.509 certificates. After successful authentication, the DAPS issues OAuth2 access tokens for connectors, who need these tokens to access the services and data of other connectors.
Metadata Broker— stores information about the data end-points offered by the participants. The broker provides a query interface for connectors and can hence be considered as the search engine in this use case.

LEARN MORE:

Show Use Case