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      講座報告

      Creation and Trade of Data Products in Industry 4.0 by Smart Services

      來源:經濟與管理學院          點擊:
      報告人 Wolfgang Maa? 教授 時間 12月1日19:00
      地點 線上線下結合 報告時間

      講座名稱:管理科學與工程學科“學術與研究生國際勝任力培養論壇”系列講座——Creation and Trade of Data Products in Industry 4.0 by Smart Services

      講座人:Wolfgang Maa? 教授

      講座時間:12月1日19:00

      講座地點:

      線下:南校區信遠II區324

      線上:Zoom會議直播(會議ID:811 1537 2588 密碼:123456)


      座人介紹:

      Wolfgang Maa?,教授,德國人工智能研究中心(DFKI)科學主任、德國薩爾蘭大學商務信息學領域的專家,兼任計算機科學教授,同時擔任認知制造實驗室(CML)的負責人。目前圍繞如何通過人工智能優化企業韌性開展研究,在Journal of the Association for Information System、Decision Support Systems以及Computers in Human Behavior等期刊上發表文章。


      講座內容:

      With a turnover of €171 billion and approx. 580,000 employees, the food industry plays a strategically important role in the German economy, both economically and socially. Digitization represents an opportunity for the food industry to increase efficiency by utilizing internal and external data (e.g., data-based process optimization).Data products created along the production process are regarded as an independent economic good. Currently, data is generated on site within the local ecosystems of producers, food producers, retailers, etc. and directly processed into usable data products at the local level using data-analytical, AI-based services (Smart Analytics Services). Smart Analytics Services (SAS) are provided by individual, centralized IoT platforms that characterize an inter- and intra-organizational local data market. In our research we investigate how to support existing data markets with a data economic approach and to expand it towards a global ecosystem, which includes (IoT) platform providers in their role as data hubs as well as suppliers, information service providers, investors, etc. This means that the data produced and locally refined into data products has a value in itself that can subsequently be enriched and utilized by data users, i.e. market participants, in further refinement steps. In a decentrally organized, global data markets, such as GAIA-X, market participants are able to access data products from the platforms of all data producers, aggregate them using specific SAS and generate new data products.


      主辦單位:經濟與管理學院

      123

      南校區地址:陜西省西安市西灃路興隆段266號

      郵編:710126

      北校區地址:陜西省西安市太白南路2號

      郵編:710071

      電話:029-88201000

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