報告內容：Data Strategy to Support Collaborative Intelligence for Industry 4.0
報告人💁🏿♂️：支誌雄 教授
報告時間⚅：12月12日 10:00
報告地點🏄🏽♀️：現代交通工程中心7950會議室
報告人簡介:
支誌雄，教授，深資首席研究員。目前就職於澳大利亞聯邦科學與工業組織（CSIRO）Data61研究所🧑🏿，任雲計算和傳感數據安全組的科研組長。博士畢業於美國普渡大學西拉法葉分校，先後在飛利浦研究實驗室、IBM公司、香港中文大學🙋🏼♀️、新加坡國立大學、清華大學任職🕤，多次擔任WCW , AWCC , IEEE SOSEICBE🛳🔵，lCS0C 等國際會議的會議主席，發表學術論文超過近300篇☪️，擁有多項已經產業化的美國專利。支教授目前的研究領域包括行為信息學和分析學，網絡安全，物聯網，雲計算🚣🏼♂️、服務計算和社交網絡🤸🏿♂️。
報告內容簡介:
Data driven approach has generally been agreed to be the driving force behind Industry 4.0. Different kinds of data related technologies, including data and knowledge fusion, machine learning and data mining, digital twins, sensing andIoT, ..., etc. are being investigated to see if smarter decision making can be made, in terms of both reactive and proactive action taking. However, with the shift of focus from points to ecosystem, the complexity of the operation environment increases significantly, and the effectiveness of current analytics and the operation intelligence are seriously constrained. In this talk, we first argue that although data strategy is essential for any data initiative that aims for value creation, it is often being ignored. Then details about what data strategy is and how it is constructed will be presented. To help people further understand this concept, we will talk about the impacts that Industry 4.0 brings to it's data strategy. Finally, we will use the example of digital supply chain evolution toillustrate how data strategy can support datafication.
