NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Augmented Intelligence (Record no. 4451)

MARC details
000 -LEADER
fixed length control field 07212cam a2200565Mu 4500
001 - CONTROL NUMBER
control field 9780429196645
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122822.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191207s2019 xx o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429591655
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429591659
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429196645
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429196644
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429589713
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429589719
Qualifying information (electronic bk. : EPUB)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1130022287
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1130022287
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.H85
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 021000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 021030
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 032000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hurwitz, Judith.
245 10 - TITLE STATEMENT
Title Augmented Intelligence
Medium [electronic resource] :
Remainder of title The Business Power of Human-Machine Collaboration.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Milton :
Name of publisher, distributor, etc. Auerbach Publishers, Incorporated,
Date of publication, distribution, etc. 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (170 p.)
500 ## - GENERAL NOTE
General note Description based upon print version of record.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Half Title; Title Page; Copyright Page; Endorsements; Dedications; Contents; Foreword; Preface; Why This Book? Why Now?; Why You Should Read This Book; What Is in This Book; About the Authors; Chapter 1: What Is Augmented Intelligence?; Introduction; Defining Augmented Intelligence; The Goal of Human-Machine Collaboration; How Augmented Intelligence Works in the Real World; Improving Traditional Applications with Machine Intelligence; Historical Perspective; The Three Principles of Augmented Intelligence; Explaining the Principles of Augmented Intelligence
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine Intelligence Addresses Human Intelligence LimitationsHuman Intelligence Should Provide Governance and Controls; Summary: How Augmented Intelligence and Artificial Intelligence Differ; Chapter 2: The Technology Infrastructure to Support Augmented Intelligence; Introduction; Beginning with Data Infrastructure; What a Difference the Cloud Makes; The Cloud Changes Everything; Big Data as Foundation; Understanding the Foundation of Big Data; Structured versus Unstructured Data; Machine Learning Techniques; Dealing with Constraints; Understanding Machine Learning; What Is Machine Learning?
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Iterative Learning from DataThe Roles of Statistics and Data Mining in Machine Learning; Putting Machine Learning in Context; Approaches to Machine Learning; Supervised Learning; Unsupervised Learning; Reinforcement Learning; Neural Networks and Deep Learning; Evolving to Deep Learning; Preparing for Augmented Intelligence; Chapter 3: The Cycle of Data; Introduction; Knowledge Transfer; Personalization; Determining the Right Data for Building Models; The Phases of the Data Cycle; Data Acquisition; Identifying Data Already within the Organization; Reasons for Acquiring Additional Data
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Data PreparationPreparing Data for Machine Learning and AI; Data Exploration; Data Cleansing; Feature Engineering; Overfitting versus Underfitting; Overfitting versus Underfitting for a Model Predicting Housing Prices; From Model Development and Deployment Back to Data Acquisition and Preparation; Chapter 4: Building Models to Support Augmented Intelligence; Introduction; Explaining Machine Learning Models; Understanding the Role of ML Algorithms; Inspectable Algorithms; Black Box Algorithms; Supervised Algorithms; Creating a Gold Standard for Supervised Learning; K-Nearest Neighbors
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Support Vector MachinesUnsupervised Algorithms; Understanding Reinforcement Learning and Neural Networks; The Value of Machine Learning Models; Summary; Chapter 5: Augmented Intelligence in a Business Process; Introduction; Defining the Business Process in Context with Augmented Intelligence; Weak Augmentation; Strong Augmentation; Strong Augmentation: Business Process Redesign; Augmented Intelligence in a Business Process about People; Strong Augmentation for Predictive Digital Marketing Campaign Management; Redefining Fashion Retailer Business Models with Augmented Intelligence
500 ## - GENERAL NOTE
General note Business Model Changes at The Gap, Inc., Using Algorithmic Fashion Predictions
520 ## - SUMMARY, ETC.
Summary, etc. 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
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Database Management / General
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Database Management / Data Mining
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Information Technology
Source of heading or term bisacsh
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Human-computer interaction.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morris, Henry.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sidner, C. L.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kirsch, Daniel.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9780429196645">https://www.taylorfrancis.com/books/9780429196645</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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