The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem
暫譯: 大數據價值的要素：研究與創新生態系統的基礎
Curry, Edward, Metzger, Andreas, Zillner, Sonja
- 出版商: Springer
- 出版日期: 2021-07-01
- 售價: $2,610
- 貴賓價: 9.5 折 $2,480
- 語言: 英文
- 頁數: 399
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030681750
- ISBN-13: 9783030681753
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
商品描述
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.
The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts:
- Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders.
- Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value.
- Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society.
- Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value.
Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
商品描述(中文翻譯)
這本開放存取的書籍介紹了大數據研究與創新生態系統的基礎，以及促進從數據中為商業和社會創造價值的相關因素。它提供了有關研究與創新的關鍵要素、技術架構、商業模式、技能和最佳實踐的見解，以支持數據驅動解決方案和組織的創建。
本書是精選高品質章節的彙編，涵蓋了大數據研究與創新的最佳實踐、技術、經驗和實用建議。貢獻內容分為四個部分：
- **第一部分：大數據價值的生態系統要素** 專注於使用整體方法建立大數據價值生態系統，使其對所有利益相關者具有吸引力和價值。
- **第二部分：大數據價值的研究與創新要素** 詳細說明了為實現大數據價值所需解決的關鍵技術和能力挑戰。
- **第三部分：大數據價值的商業、政策和社會要素** 探討了更有效利用大數據的必要性，並理解數據是一項對經濟和社會具有重大潛力的資產。
- **第四部分：大數據價值的新興要素** 探索了最大化大數據價值未來潛力的關鍵要素。
總體而言，讀者將獲得支持他們創建數據驅動解決方案、組織和生產性數據生態系統的見解。這些材料代表了歐洲數據社群的集體努力，作為歐洲委員會與大數據價值協會（BDVA）之間的大數據價值公私合營夥伴關係（PPP）的一部分，以促進數據驅動的數位轉型。
作者簡介
Edward Curry is a Principal Investigator at the Insight SFI Research Centre for Data Analytics at NUI Galway and leads a research unit on Open Distributed Systems. Edward has made substantial contributions to semantic technologies, incremental data management (dataspaces), event processing, software engineering, as well as distributed systems and data ecosystems. He is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community.
Andreas Metzger is senior academic councilor at the University of Duisburg-Essen, Germany, and head of Adaptive Systems and Big Data Applications at paluno, the Ruhr Institute for Software Technology. His background and research interests are software engineering and machine learning for self-adaptive systems. He serves as steering committee vice chair of NESSI, the European Technology Platform dedicated to Software, Services and Data, and as deputy secretary general of the Big Data Value Association.
Sonja Zillner works at Siemens AG, Technology as principal research scientist focusing on the definition, acquisition and management of global innovation and research projects in the domain of semantics and artificial intelligence. Since 2020 she is Lead of the Core Company Technology Module "Trustworthy AI" at Siemens Corporate Technology. Before that, from 2016 to 2019 she was invited to consult the Siemens Advisory Board in strategic decisions regarding artificial intelligence.
Jean-Christophe Pazzaglia is Chief Support Architect Higher Education & Research at SAP France and supporting SAP's involvement in BDVA by managing the Big Data Value ecosystem project while also leading the pilot AI4Citizen in the AI4EU project. Complementary, within SAP University Alliance, he gives lectures on SAP Technologies and Design Thinking workshops. Prior to this, he was Director of the SAP Research Center Sophia Antipolis, and the principal investigator for SAP in several European and French research projects.
Ana Garcia Robles is currently Secretary General of the Big Data Value Association (BDVA). She has a strong ICT industrial background in the Telecommunications sector, with over 10 years' experience in the design, implementation and configuration of large-scale telecom networks and services, and, in the research and techno-economical assessment of new technologies and solutions for large-scale implementation. Ana has participated in multiple research and innovation projects in the areas of Open and Big Data, IoT, Open Platforms, Digital social innovation, and many more.
作者簡介(中文翻譯)
愛德華·庫里 (Edward Curry) 是愛爾蘭國立大學高威分校 (NUI Galway) Insight SFI 數據分析研究中心的首席研究員，負責開放分散式系統的研究單位。愛德華在語意技術、增量數據管理 (dataspaces)、事件處理、軟體工程以及分散式系統和數據生態系統方面做出了重要貢獻。他是歐洲大數據社群 Big Data Value Association 的共同創辦人及當選副會長。
安德烈亞斯·梅茨格 (Andreas Metzger) 是德國杜伊斯堡-埃森大學的高級學術顧問，並擔任魯爾軟體技術研究所 (paluno) 的自適應系統與大數據應用部門負責人。他的背景和研究興趣集中在自適應系統的軟體工程和機器學習。他擔任歐洲技術平台 NESSI 的指導委員會副主席，該平台專注於軟體、服務和數據，並擔任大數據價值協會的副秘書長。
索尼婭·齊爾納 (Sonja Zillner) 在西門子股份公司 (Siemens AG) 擔任首席研究科學家，專注於語意學和人工智慧領域的全球創新與研究項目的定義、獲取和管理。自2020年以來，她擔任西門子企業技術部門的「可信賴人工智慧」核心公司技術模組負責人。在此之前，從2016年到2019年，她受邀為西門子顧問委員會提供有關人工智慧的戰略決策諮詢。
尚-克里斯多夫·帕扎利亞 (Jean-Christophe Pazzaglia) 是法國 SAP 的高等教育與研究首席支援架構師，負責管理大數據價值生態系統項目，並支持 SAP 在 BDVA 的參與，同時領導 AI4EU 項目中的 AI4Citizen 試點計畫。此外，在 SAP 大學聯盟中，他講授 SAP 技術和設計思維工作坊。在此之前，他曾擔任 SAP 研究中心索非亞安提波利斯的主任，並是多個歐洲和法國研究項目中 SAP 的首席研究員。
安娜·加西亞·羅布萊斯 (Ana Garcia Robles) 目前是大數據價值協會 (BDVA) 的秘書長。她在電信行業擁有強大的資訊通信技術 (ICT) 工業背景，擁有超過10年的經驗，專注於大型電信網絡和服務的設計、實施和配置，以及新技術和解決方案的大規模實施的研究和技術經濟評估。安娜參與了多個開放數據和大數據、物聯網 (IoT)、開放平台、數位社會創新等領域的研究和創新項目。
