Augmented Intelligence: The Business Power of Human-Machine Collaboration
暫譯: 增強智慧：人機協作的商業力量
Hurwitz, Judith, Morris, Henry, Sidner, Candace
- 出版商: Auerbach Publication
- 出版日期: 2021-01-22
- 售價: $1,550
- 貴賓價: 9.5 折 $1,473
- 語言: 英文
- 頁數: 142
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367687879
- ISBN-13: 9780367687878
海外代購書籍(需單獨結帳)
相關主題
商品描述
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human-Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets.
This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning.
What experts are saying about Augmented Intelligence
The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business.--Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley
Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, 'AI will not replace managers, but managers who use AI will replace managers who don't.' This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose.--Rob Thomas, General Manager, Data and AI, IBM
商品描述(中文翻譯)
AI 革命正以驚人的速度發展。組織開始投資於創新的方式，通過人工智慧來獲利他們的數據。企業需要了解 AI 的現實。要成功，組織必須明白增強智慧是成功的關鍵。《增強智慧：人機協作的商業力量》探討了結合人類與機器智慧的過程。本書為商業領導者和 AI 數據專家提供了對增強智慧價值的理解，以及其在競爭市場中獲勝的能力。
本書專注於清晰管理用於增強智慧的基礎數據的必要性。它關注不當數據使用的風險，並深入探討增強智慧時代的數據倫理與治理。在本書中，我們探討了基於自動化已知過程的弱增強與旨在通過數據、AI 和機器學習重新思考商業流程的強增強之間的區別。
專家對《增強智慧》的評價
您即將閱讀的這本書非常重要，因為我們越來越依賴機器學習和 AI。因此，理解創造一個企業能夠從整體角度理解數據的環境的能力至關重要。能夠根據對客戶行為和思維的理解做出更好的決策是必須的，這樣我們才能採取最佳的下一步行動。本書清楚地闡明了增強智慧對社會和商業的影響。--Tsvi Gal，摩根士丹利企業技術與服務董事總經理
我們的使命一直是幫助客戶應用 AI 來更好地預測和塑造未來結果，賦能更高價值的工作，並自動化工作完成的方式。我一直說：“AI 不會取代經理，但使用 AI 的經理將取代不使用 AI 的經理。”本書深入探討了 AI 所承諾的真正價值，即增強現有的人類智慧，並在此過程中揭穿了一些關於 AI 及其預期目的的神話。--Rob Thomas，IBM 數據與 AI 總經理
作者簡介
Judith S. Hurwitz is a technology consultant and strategist, analyst, author, and thought leader. As president of a research and consulting firm--Hurwitz & Associates-- Judith's work has focused on emerging technology, including cloud computing, big data, software development, computing management, and security. Prior to starting Hurwitz & Associates, Judith founded two other companies-- CycleBridge, a life science software consulting firm, and Hurwitz Group, Inc., a research and analyst firm. She has worked at various corporations, including Apollo Computer and John Hancock. Judith serves on several advisory boards for emerging companies, and she is a frequent speaker at technology conferences as well as a guest lecturer. In 2011, she authored a business leadership book, Smart or Lucky? How Technology Leaders Turn Chance into Success (Jossey-Bass, 2011). Judith is a coauthor of nine books in addition to Augmented Intelligence, including Cognitive Computing and Big Data Analytics (Wiley Publishing, 2015), Cloud for Dummies (Wiley Publishing, 2020), and Big Data for Dummies (Wiley Publishing, 2013). In addition, she contributed a chapter to Intuition, Trust, and Analytics (CRC Press/Taylor & Francis Group, 2018). Judith holds B.S. and M.S. degrees from Boston University. She is a member of Boston University's College of Arts & Sciences Dean's Advisory Board.
Henry Morris is a consultant and thought leader in applying analytics, business processes, and governance to business systems. He served as Senior Vice President for Worldwide Software and Services Research and was a Research Fellow at International Data Corporation (IDC). During his tenure at IDC, Henry founded the research practice on analytics, coining the now industry-standard term "analytic applications." Henry is renowned for his work on analytics software that is purpose-built to support decision-oriented business processes. Henry was also Assistant Professor of Philosophy and Religion at Colgate University, Lecturer at Tufts University Experimental College (artificial intelligence and the changing workplace), and Lecturer at Northeastern University and Bentley University (in technical writing.
Candace Sidner is a computer scientist, researcher, and consultant with a long-standing interest in human communication and collaboration, and their application to agents, robots, and interfaces. Candy is especially focused on those systems that are using gesture, social behavior, speech, and natural language. She is a Research Professor at Worcester Polytechnic Institute (WPI). She was Principle Investigator (PI) of the Always On Relational Agent project with Chuck Rich at WPI and Tim Bickmore at Northeastern University, and co-PI for the ONR-sponsored WPI project: Collaborative Robot Learning from Demonstration Using Hierarchical Task Networks. Candy is a Fellow and past Councilor of the Association for the Advancement of Artificial Intelligence, was elected a Fellow of the Association for Computational Linguistics, and is a senior member of the IEEE..
Daniel Kirsch is a consultant, analyst, and thought leader focused on how emerging technologies such as AI, machine learning, and advanced analytics are impacting businesses. Dan is particularly interested in how businesses use these emerging technologies to alter their approaches to information security, governance, risk, and ethics. Dan provides advisory services directly to leadership at technology vendors that design and deliver security solutions to the market. He assists them in aligning their solutions with enterprise requirements. Dan is viewed as an expert in understanding security solutions and mapping them to the complex needs of business across industries. He developed the Hurwitz & Associates security audit and assessment tools.
作者簡介(中文翻譯)
朱迪思·S·赫維茲是一位技術顧問和策略家、分析師、作家及思想領袖。作為研究和顧問公司 Hurwitz & Associates 的總裁，朱迪思的工作專注於新興技術，包括雲計算、大數據、軟體開發、計算管理和安全性。在創立 Hurwitz & Associates 之前，朱迪思創辦了另外兩家公司——CycleBridge，一家生命科學軟體顧問公司，以及 Hurwitz Group, Inc.，一家研究和分析公司。她曾在多家企業工作，包括 Apollo Computer 和 John Hancock。朱迪思擔任多家新興公司的顧問委員會成員，並且經常在技術會議上演講以及擔任客座講師。2011年，她撰寫了一本商業領導力書籍，聰明還是幸運？技術領導者如何將機會轉化為成功（Jossey-Bass, 2011）。除了 增強智能 外，朱迪思還是九本書的共同作者，包括 認知計算與大數據分析（Wiley Publishing, 2015）、雲端技術入門（Wiley Publishing, 2020）和 大數據入門（Wiley Publishing, 2013）。此外，她還為 直覺、信任與分析（CRC Press/Taylor & Francis Group, 2018）貢獻了一章。朱迪思擁有波士頓大學的學士和碩士學位。她是波士頓大學文理學院院長顧問委員會的成員。
亨利·莫里斯是一位顧問和思想領袖，專注於將分析、商業流程和治理應用於商業系統。他曾擔任國際數據公司（IDC）全球軟體和服務研究的高級副總裁，並擔任研究員。在IDC任職期間，亨利創立了分析研究實踐，並創造了現在業界標準的術語「分析應用」。亨利因其專為支持以決策為導向的商業流程而設計的分析軟體而聞名。亨利還曾擔任科爾蓋特大學的哲學與宗教助理教授、塔夫茨大學實驗學院（人工智慧與變化中的工作場所）的講師，以及東北大學和本特利大學的講師（技術寫作）。
坎黛絲·西德納是一位計算機科學家、研究員和顧問，對人類溝通與協作及其在代理、機器人和介面中的應用有著長期的興趣。坎迪特別專注於那些使用手勢、社交行為、語音和自然語言的系統。她是伍斯特理工學院（WPI）的研究教授。她曾與 Chuck Rich 在 WPI 和 Tim Bickmore 在東北大學共同擔任「始終在線關聯代理」項目的主要研究員（PI），並擔任 ONR 贊助的 WPI 項目「基於示範的協作機器人學習」的共同主要研究員。坎迪是人工智慧促進協會的研究員及前理事，曾被選為計算語言學協會的研究員，並且是 IEEE 的高級會員。
丹尼爾·基爾施是一位顧問、分析師和思想領袖，專注於新興技術如 AI、機器學習和高級分析如何影響商業。丹特別關心企業如何利用這些新興技術來改變其在資訊安全、治理、風險和倫理方面的做法。丹直接向設計和提供安全解決方案的技術供應商的領導層提供顧問服務，幫助他們將解決方案與企業需求對齊。丹被視為理解安全解決方案並將其映射到各行各業複雜需求的專家。他開發了 Hurwitz & Associates 的安全審核和評估工具。
