Enterprise Digital Transformation
暫譯: 企業數位轉型

Augustine, Peter, Raj, Pethuru, Munirathinam, Sathyan

  • 出版商: Auerbach Publication
  • 出版日期: 2022-02-18
  • 售價: $2,350
  • 貴賓價: 9.5$2,233
  • 語言: 英文
  • 頁數: 434
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032151188
  • ISBN-13: 9781032151182
  • 海外代購書籍(需單獨結帳)

商品描述

Digital transformation (DT) has become a buzzword. Every industry segment across the globe is consciously jumping toward digital innovation and disruption to get ahead of their competitors. In other words, every aspect of running a business is being digitally empowered to reap all the benefits of the digital paradigm. All kinds of digitally enabled businesses across the globe are intrinsically capable of achieving bigger and better things for their constituents. Their consumers, clients, and customers will realize immense benefits with real digital transformation initiatives and implementations. The much-awaited business transformation can be easily and elegantly accomplished with a workable and winnable digital transformation strategy, plan, and execution.

There are several enablers and accelerators for realizing the much-discussed digital transformation. There are a lot of digitization and digitalization technologies available to streamline and speed up the process of the required transformation. Industrial Internet of Things (IIoT) technologies in close association with decisive advancements in the artificial intelligence (AI) space can bring forth the desired transitions. The other prominent and dominant technologies toward forming digital organizations include cloud IT, edge/fog computing, real-time data analytics platforms, blockchain technology, digital twin paradigm, virtual and augmented reality (VR/AR) techniques, enterprise mobility, and 5G communication. These technological innovations are intrinsically competent and versatile enough to fulfill the varying requirements for establishing and sustaining digital enterprises.

Enterprise Digital Transformation: Technology, Tools, and Use Cases features chapters on the evolving aspects of digital transformation and intelligence. It covers the unique competencies of digitally transformed enterprises, IIoT use cases, and applications. It explains promising technological solutions widely associated with digital innovation and disruption. The book focuses on setting up and sustaining smart factories that are fulfilling the Industry 4.0 vision that is realized through the IIoT and allied technologies.

商品描述(中文翻譯)

數位轉型(Digital Transformation, DT)已成為一個流行詞。全球各行各業都在有意識地朝向數位創新和顛覆邁進,以超越競爭對手。換句話說,經營企業的每一個方面都在數位化的推動下,旨在獲取數位範式所帶來的所有好處。全球各種數位化企業本質上具備為其利益相關者實現更大更好成就的能力。消費者、客戶和顧客將會在真正的數位轉型倡議和實施中獲得巨大的好處。期待已久的商業轉型可以通過可行且可贏的數位轉型策略、計劃和執行輕鬆而優雅地實現。

實現廣泛討論的數位轉型有幾個促進因素和加速器。許多數位化和數位化技術可用於簡化和加速所需轉型的過程。工業物聯網(Industrial Internet of Things, IIoT)技術與人工智慧(Artificial Intelligence, AI)領域的決定性進展密切相關,能夠帶來所需的轉變。形成數位組織的其他顯著和主導技術包括雲端資訊技術(cloud IT)、邊緣/霧計算(edge/fog computing)、即時數據分析平台、區塊鏈技術(blockchain technology)、數位雙胞胎範式(digital twin paradigm)、虛擬和擴增實境(Virtual and Augmented Reality, VR/AR)技術、企業移動性以及5G通訊。這些技術創新本質上具備足夠的能力和多樣性,以滿足建立和維持數位企業的不同需求。

《企業數位轉型:技術、工具與應用案例》(Enterprise Digital Transformation: Technology, Tools, and Use Cases)一書涵蓋了數位轉型和智能的演變方面。它探討了數位轉型企業的獨特能力、IIoT的應用案例和應用。書中解釋了與數位創新和顛覆廣泛相關的有前景的技術解決方案。該書專注於建立和維持智能工廠,實現透過IIoT及相關技術所實現的工業4.0願景。

作者簡介

Dr. Sathyan Munirathinam is working as a Cloud Solution Architect Manager for ASML Corporation. He is responsible for developing a cloud strategy and roadmap for addressing dynamic cloud solutions as well as works on machine learning, deep learning, and IoT issues. He has a PhD in Machine Learning and more than 20 years of experience in working with business intelligence and 15 years of experience in manufacturing. His research interests include artificial intelligence, equipment health monitoring, IoT and big data analysis, statistical machine learning and data mining, ubiquitous computing, and human computer interaction. He holds a Master of Science from Illinois Institute of Technology and is a Certified Business Intelligence Professional.

Dr. Peter Augustine has been working as an Associate Professor in the Department of Computer Science, CHRIST University, Bangalore. He has a PhD in Medical Image Processing in Cloud Environment, with more than eight years of experience in cloud computing and five years in Big Data Analytics. He has collaborated with St. John's Medical Research Institute in a research project to diagnose lung diseases using cutting-edge AI and Machine Learning. His research interests include artificial intelligence, IoT and big data analysis in the area of healthcare, data mining, and human computer interaction.

Dr. Pethuru Raj has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore. He previously worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), IBM India Bangalore for four years. Prior to that, he had a long stint as TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division. He has also worked as a lead architect in the corporate research division of Robert Bosch, Bangalore. In total, he has gained more than 17 years of IT industry experience and eight years of research experience.

作者簡介(中文翻譯)

Dr. Sathyan Munirathinam 目前擔任 ASML Corporation 的雲端解決方案架構經理。他負責制定雲端策略和路線圖,以應對動態雲端解決方案,並專注於機器學習、深度學習和物聯網問題。他擁有機器學習的博士學位,並在商業智慧領域擁有超過 20 年的經驗,以及在製造業的 15 年經驗。他的研究興趣包括人工智慧、設備健康監控、物聯網和大數據分析、統計機器學習和資料探勘、無所不在的計算以及人機互動。他擁有伊利諾伊理工學院的理學碩士學位,並且是認證的商業智慧專業人士。

Dr. Peter Augustine 目前在班加羅爾的 CHRIST 大學計算機科學系擔任副教授。他擁有雲端環境中的醫學影像處理博士學位,並在雲端計算領域擁有超過八年的經驗,以及在大數據分析方面的五年經驗。他曾與聖約翰醫學研究所合作,進行一項使用尖端人工智慧和機器學習診斷肺部疾病的研究項目。他的研究興趣包括人工智慧、物聯網和醫療保健領域的大數據分析、資料探勘以及人機互動。

Dr. Pethuru Raj 目前在 Reliance Jio Infocomm Ltd. (RJIL) 的網站可靠性工程 (SRE) 部門擔任首席架構師。他之前在 IBM 印度班加羅爾的全球雲端卓越中心 (CoE) 擔任雲端基礎設施架構師,工作了四年。在此之前,他在 Wipro Consulting Services (WCS) 部門擔任 TOGAF 認證的企業架構 (EA) 顧問,任職時間相當長。他還曾在羅伯特·博世的企業研究部門擔任首席架構師。總體而言,他在 IT 行業擁有超過 17 年的經驗和八年的研究經驗。