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出版商:
Springer
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出版日期:
2021-02-06
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售價:
$6,360
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貴賓價:
9.5 折
$6,042
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語言:
英文
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頁數:
133
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
3030631389
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ISBN-13:
9783030631383
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相關分類:
物聯網 IoT、Data Science
商品描述
This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision-making in the IIoT enterprise. The book starts by defining an IIoT enterprise and the framework used to efficiently operate. A description of the concepts of industrial analytics, which is a major engine for decision making in the IIoT enterprise, is provided. It then discusses how data and machine learning (ML) play an important role in increasing the competitiveness of industrial enterprises that operate using the IIoT technology and business concepts. Real world examples of data driven IIoT enterprises and various business models are presented and a discussion on how the use of ML and data science help address complex decision-making problems and generate new job opportunities. The book presents in an easy-to-understand manner how ML algorithms work and operate on data generated in the IIoT enterprise.
Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects.
商品描述(中文翻譯)
本書介紹了工業組織從工業物聯網(IIoT)中可以獲得的特徵和好處。這些特徵和好處包括增強競爭力、提高主動決策能力、改善創造力和創新、增加就業機會、提升對不斷變化挑戰的應變能力,以及加強數據驅動的決策制定。書中以簡單明瞭的方式幫助讀者理解IIoT企業的核心複雜概念,例如大數據(Big Data)、分析架構平台、機器學習(ML)和數據科學算法,以及可視化的力量如何豐富專家在決策過程中的考量。書中還指導讀者思考如何定義IIoT所促進的新商業範式,以及如何提高在管理分析專案時成功的機率,這些專案是IIoT企業決策的核心引擎。本書首先定義了IIoT企業及其高效運作所需的框架。接著提供了工業分析的概念描述,這是IIoT企業決策的重要引擎。然後討論了數據和機器學習(ML)在提高使用IIoT技術和商業概念運作的工業企業競爭力方面所扮演的重要角色。書中展示了數據驅動的IIoT企業的實際案例和各種商業模式,並討論了如何利用ML和數據科學來解決複雜的決策問題並創造新的就業機會。本書以易於理解的方式介紹了ML算法如何在IIoT企業中運作和處理生成的數據。
本書對任何對先進工業軟體應用感興趣的行業專業人士都非常有用,包括商業經理和專業人士,他們對數據分析如何幫助行業並開發創新商業解決方案感興趣,以及希望將分析和計算機科學領域與工業世界結合的數據和計算機科學家,還有對管理先進分析專案感興趣的專案經理。
作者簡介
Dr. Aldo Dagnino is an Industrial Engineer and received his M. A. Sc. and Ph. D degrees in the Department of Systems Design Engineering at the University of Waterloo in Canada. He has collaborated with various universities such as North Carolina State University and the University of Calgary where he held Adjunct Faculty appointments to conduct joint research, co-supervise graduate students, and create industrial internship programs to bridge academia with industry needs. Dr. Dagnino has 30 years' experience developing advanced software solutions for industrial applications. The main focus of his work has been to bridge the technical fields of Computer Science, Software Engineering, and Industrial Systems Engineering for the development of new production systems that will enhance environmentally sustainable industrial processes and create new job opportunities. Dr. Dagnino has also utilized the fields of Artificial Intelligence, Machine Learning, Data Mining, Operations Research, Robotics, Software Engineering, Industrial Engineering, and Manufacturing Engineering in the development of new software products and services for electronics, telecommunications, electro-mechanics, oil and gas, power generation, manufacturing, and power transmission and distribution. Dr. Dagnino led the Advanced Industrial Analytics Group at ABB US Corporate Research and is currently leading the advanced analytics activities within the ABB Global Information Systems organization.
作者簡介(中文翻譯)
阿爾多·達尼諾博士(Dr. Aldo Dagnino)是一位工業工程師,並在加拿大滑鐵盧大學(University of Waterloo)的系統設計工程系獲得碩士和博士學位。他曾與多所大學合作,如北卡羅來納州立大學(North Carolina State University)和卡爾加里大學(University of Calgary),在這些學校擔任兼任教職,進行聯合研究、共同指導研究生,並創建產業實習計畫,以橋接學術界與產業需求。達尼諾博士擁有30年的經驗,專注於為工業應用開發先進的軟體解決方案。他的工作主要集中在計算機科學(Computer Science)、軟體工程(Software Engineering)和工業系統工程(Industrial Systems Engineering)等技術領域之間的橋接,以開發新的生產系統,增強環境可持續的工業流程並創造新的就業機會。達尼諾博士還利用人工智慧(Artificial Intelligence)、機器學習(Machine Learning)、資料探勘(Data Mining)、運籌學(Operations Research)、機器人技術(Robotics)、軟體工程、工業工程和製造工程(Manufacturing Engineering)等領域,為電子、電信、電子機械、石油和天然氣、發電、製造以及電力傳輸和配電等行業開發新的軟體產品和服務。達尼諾博士曾在ABB美國企業研究部門領導先進工業分析小組,並目前在ABB全球資訊系統組織中領導先進分析活動。