Industry Data Value Workshop

Barcelona, Spain / Beijing, China
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Events Introduction

The Industry Data Value Workshop during MWC22, was held on 28th February, 2022 in Beijing/Barcelona, with other participants from around the world joining online. It was co-hosted by the Global Industry Organizations Roundtable (GIO), IDTA and AII. At the workshop, we discussed about cutting-edge technologies and practices in Europe, Japan, and China, and explored potential directions and opportunities for cooperation to promote industrial digital transformation.


09:30 – 09:40
Opening Remarks
William Xu Jianbo Hu Meik BillmannCo-chairs
Enabling Technology
09:40 – 09:55
Industrial Data Spaces
Boris OttoFraunhofer ISST
09:55 – 10:10
Trusted Data Matrix Foster Industrial Data Sharing and Circulation
Sha WeiAII
10:10 – 10:25
The Role of Industrial Digital Twins for Sustainable Manufacturing and Cross Industries Collaboration
Meik BillmannIDTA
10:25 – 10:40
Enabling Technology of Connected Industries Open Framework (CIOF)
Yasuyuki NishiokaIVI
Coffee break
Go to Market Approach
10:50 – 11:05
Equipment Data Value
Jinsong OuyangSAC/TC 124
11:05 – 11:20
Present and Future of Data Value from Digital Twin
Massimo CanducciEngineering Group
11:20 – 11:35
Digital Asset Model Research and Exploration Sharing
Ting WangECC
11:35 – 11:50
Machine Digital Asset Case Sharing
Zhenhua ChenCMTBA
Open Discussion
11:50 – 12:50
1, How to support and identify data sharing among stakeholders to jointly create global ecosystems in the value network, and what are the different needs and services of various stakeholders, such as infrastructure providers, suppliers, industrial integrators and end users? 2, How can SME (small medium enterprises) be supported to market industry knowledge starting new market place oriented business?
All– –
12:50 – 13:00
Juergen Grotepass Haiping CheModerators

Expert View

William Xu
GIO Chair; Director of the Board and President of the Institute of Strategic Research, Huawei
The interconnection and sharing of data can produce the greatest value to the industry, otherwise it will increase the cost of digital transformation. On this basis, it is also necessary to ensure the security and credibility of data. The workshop mainly includes guests from Europe, Japan and China. These countries are mainly manufacturing and industry-oriented. It is of great value to these countries to formulate industrial data standards, frameworks and interconnection bases in the industry.
Jianbo Hu
Co-chair of the Industry Data Value Workshop; Secretary General, AII; Vice President, CAICT
At present, industrial data has become an essential productive factors, which is the key to promote the digital, networked and intelligent development of manufacturing industry. Exploring and building a credible industrial data space is not only an effective means to promote the sharing and circulation of industrial data in a wider range, more fully and orderly, but also an important way to stimulate the value of data elements and expand the multiplier effect of data productivity. We suggest that all parties should further build consensus and promote cooperation, actively create a data governance ecosystem with data innovation as the link, and improve the ability of data circulation and sharing with the goal of openness and coordination.
Boris Otto
Director, Fraunhofer ISST
All we need to build data space is there, let’s just do it.
Sha Wei
Member, AII; Deputy chief engineer of the Informatization and Industrialization Integration Research Institute of CAICT
The trusted industrial data space based on consensus requirements, standards and management tools has the basic functions of trusted operation environment, use control, identity authentication, classification and grading, smart contract and trusted transmission. It is a data management and control system and value ecosystem covering the whole life cycle of data. It is a new infrastructure to realize the efficient configuration of data elements.
Meik Billmann
Co-chair of the Industry Data Value Workshop; CEO, IDTA
The Asset Administration Shell (AAS) implements the Digital Twin for Industry 4.0 for Greater Digital Value Creation
Yasuyuki Nishioka
Chairman, IVI
CIOF (Connected Industry Open Framework) is a platform to enable data sharing, distribution and trading between manufacturing units based on contract. This solution was developed by IVI, verified by several use cases of member companies and released as a commercial product.
Jinsong Ouyang
Vice Chairman, SAC/TC 124
The equipment value has developed from the traditional equipment ontology value to the new value system of “physical equipment (ontology value & service value) + data assets”.
Massimo Canducci
Chief Innovation Officer, Engineering Group
Digital Twin applications should become as soon as possible Autonomous Digital Twin, a new concept where the digital objects, receiving real time data and providing real time actions, is able to direct interact with real objects without human supervision. This concept introduces the possibility to find the best scenario in the digital world using multiple strategies based on artificial intelligence, and directly apply it in the real world. Human body will be the new frontier of Digital Twin. Having wearable devices and different sensors on the human body allows to collect a large quantity of data that can be used not only to check people health, but also to test treatments in digital way and instantly verify how they work before giving them to the patients.
Ting Wang
Vice Chairman of New Industrial Controlling Committee, ECC
Under the background of industry 4.0, manufacturing mode will usher in significant changes, and model-based manufacturing will become the mainstream. Data asset models are model-based manufacturing enablement techniques.
Zhenhua Chen
Leader of the Platform Team, CMTBA
To construct digital economy system in traditional fields, “objects” with strong industry attributes must be taken as data anchor points. Industry digital asset operators are key players in exploring new systems, new models and new formats of digital economy in traditional fields.