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Cognitive (Internet of) Things: Collaboration to Optimize Action Softcover reprint of the original 1st ed. 2016 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 178 pages, height x width: 235x155 mm, weight: 454 g, 17 Illustrations, color; XVII, 178 p. 17 illus., 1 Paperback / softback
  • Izdošanas datums: 16-Jun-2018
  • Izdevniecība: Palgrave Macmillan
  • ISBN-10: 1349955337
  • ISBN-13: 9781349955336
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Cognitive (Internet of) Things: Collaboration to Optimize Action Softcover reprint of the original 1st ed. 2016Palielināt
  • Formāts: Paperback / softback, 178 pages, height x width: 235x155 mm, weight: 454 g, 17 Illustrations, color; XVII, 178 p. 17 illus., 1 Paperback / softback
  • Izdošanas datums: 16-Jun-2018
  • Izdevniecība: Palgrave Macmillan
  • ISBN-10: 1349955337
  • ISBN-13: 9781349955336
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781349955336.html
This book explores cognitive behavior among Internet of Things.  Using a series of current and futuristic examples appliances, personal assistants, robots, driverless cars, customer care, engineering, monetization, and many more the book covers use cases, technology and communication aspects of how machines will support individuals and organizations. 





This book examines the Cognitive Things covering a number of important questions:





     What are Cognitive Things?  





     What applications can be driven from Cognitive Things today and tomorrow?





     How will these Cognitive Things collaborate with each and other, with individuals and with organizations?





     What is the cognitive era?  How is it different from the automation era? 





     How will the Cognitive Things support or accelerate human problem solving?





     Which technical components make up cognitive behavior?





     How does it redistribute the work-load between humans and machines?





     What types of data can be collected from them and shared with external organizations?





     How do they recognize and authenticate authorized users?  How is the data safeguarded from potential theft?  Who owns the data and how are the data ownership rights enforced?





Overall, Sathi explores ways in which Cognitive Things bring value to individuals as well as organizations and how to integrate the use of the devices into changing organizational structures. Case studies are used throughout to illustrate how innovators are already benefiting from the initial explosion of devices and data. Business executives, operational managers, and IT professionals will understand the fundamental changes required to fully benefit from cognitive technologies and howto utilize them for their own success.
1 Introduction
1(12)
1.1 Background
1(2)
1.2 What Are Cognitive Things and How Do They Function?
3(6)
1.3 Book Outline
9(3)
1.4 Target Audience
12(1)
1.5 Summary and What's Next
12(1)
2 What Is a Cognitive Device?
13(16)
2.1 Background
13(1)
2.2 Candidate Devices
14(7)
2.3 Cognitive Device Operation
21(2)
2.4 Cognitive Device Engineering
23(2)
2.5 Blockchain for Transaction Management
25(1)
2.6
Chapter Summary
26(3)
3 Cognitive Devices as Human Assistants
29(12)
3.1 Introduction
29(2)
3.2 Shopping and Buying Assistant
31(2)
3.3 Care Assistant
33(2)
3.4 Travel and Entertainment Assistant
35(2)
3.5 Administrative Assistant
37(2)
3.6
Chapter Summary
39(2)
4 Cognitive Things in an Organization
41(20)
4.1 Introduction
41(3)
4.2 Smarter Operation
44(5)
4.3 Smarter Engineering
49(4)
4.4 Contextual Marketing
53(2)
4.5 Proactive Customer Care
55(3)
4.6 Counter Fraud Management
58(1)
4.7
Chapter Summary
58(3)
5 Reuse and Monetization
61(18)
5.1 Introduction
61(1)
5.2 Weather Services
62(2)
5.3 Media Viewership Services
64(2)
5.4 Location Services
66(2)
5.5 Location Data and Contextual Marketing
68(2)
5.6 The New Advertising Market Place
70(3)
5.7 Monetization Candidates and Criteria
73(2)
5.8 Cognitive Monetization
75(1)
5.9
Chapter Summary
76(3)
6 Intelligent Observations
79(14)
6.1 Introduction
79(1)
6.2 Sense
80(2)
6.3 Observe
82(2)
6.4 Listen
84(2)
6.5 Crawl
86(1)
6.6 Visual Recognition
87(1)
6.7 Identity Resolution
88(2)
6.8
Chapter Summary
90(3)
7 Organization of Knowledge and Problem-Solving
93(18)
7.1 Introduction
93(2)
7.2 Organizing Solution Space
95(4)
7.3 Text Analysis
99(3)
7.4 Profile Enrichment
102(1)
7.5 Automated Problem Solving
102(3)
7.6 Adaptive Real-Time Decision-Making
105(3)
7.7
Chapter Summary
108(3)
8 Installation, Training, Maintenance, Security, and Infrastructure
111(14)
8.1 Introduction
111(2)
8.2 Installation and Maintenance
113(1)
8.3 Training
114(2)
8.4 Security and Privacy
116(3)
8.5 Centralized or Distributed Architecture
119(2)
8.6 Cloud or On-Premise Infrastructure
121(1)
8.7
Chapter Summary
122(3)
9 Machine-to-Machine Interfaces
125(12)
9.1 Introduction
125(1)
9.2 Communication Media
126(3)
9.3 Identity Management
129(2)
9.4 Information Governance
131(2)
9.5 Negotiation
133(2)
9.6
Chapter Summary
135(2)
10 Man-to-Machine Interfaces
137(14)
10.1 Introduction
137(2)
10.2 Authentication
139(3)
10.3 Cognitive Interaction
142(4)
10.4 Emotions, Creativity, and Hidden Meanings
146(2)
10.5 Negotiation/Disambiguation
148(1)
10.6
Chapter Summary
149(2)
11 Assisting in Human Communications
151(10)
11.1 Introduction
151(1)
11.2 Information Integration and Discovery
152(2)
11.3 Alternative Generation and Prioritization
154(2)
11.4 Conversation Assistance
156(1)
11.5 Organization Communication
157(2)
11.6
Chapter Summary
159(2)
12 Balance of Power and Societal Impacts
161(16)
12.1 Introduction
161(2)
12.2 Displacement of Cognitive Jobs
163(3)
12.3 Who Is the Winner?
166(1)
12.4 Regulatory Versus Consumer Privacy
167(2)
12.5 Changing Role of Machines and Humans in Families and Organizations
169(2)
12.6 Organization Design, Policy Management, Change Management
171(1)
12.7 New Skills and Shortage Areas
172(2)
12.8
Chapter Summary
174(3)
Index 177
Dr. Arvind Sathi is a Cognitive Scientist with IBM®s Cognitive Solutions Lab. Dr. Sathi received his Ph.D. in Artificial Intelligence from Carnegie Mellon University and worked under Nobel Prize winner Dr. Herbert A. Simon. Dr. Sathi is a seasoned professional with more than 30 years of leadership in cognitive and analytic solution development and delivery. He works with IBM clients worldwide to envision and build cognitive solutions. Dr. Sathi was a pioneer in developing cognitive solutions at Carnegie Group, leading to its successful public offering as a profitable AI company. At KPMG / Bearingpoint, he led the practices for Cognitive Process Automation, Enterprise Integration, & Analytics. At IBM, Dr. Sathi has led several cognitive and analytics programs including a number of IBM products from Watson, Analytics and business units, and has provided technical oversight to IBMs strategic accounts. He has also delivered a number of workshops and presentations at industry conferences on technical subjects, and holds two patents in data masking. He has published three books on analyticsCustomer Experience Analytics, Big Data Analytics, and Engaging Customers Using Big Dataand is releasing his fourth book titled Cognitive (Internet of) Things in October 2016. He has also been a contributing author in a number of Data Governance books written by Sunil Soares, and has published an article series on Advanced Analytics for IBM Developer Works. Arvind Sathi is a member of IBMs Academy of Technology.