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E-raamat: Impact of Artificial Intelligence on Organizational Transformation

Edited by (Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India), Edited by (Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India), Edited by , Edited by (Mohanlal Sukhadia University,), Edited by , Edited by (Anna University, India)
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IMPACT OF ARTIFICIAL INTELLIGENCE ON ORGANIZATIONAL TRANSFORMATION Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing.



The impact of AI in restructuring organizational processes is a combination of management practices and computational technology. This book covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms.

Audience

Readers include those working in artificial intelligence, business management studies, technology engineers, senior executives, and human resource managers in all types of business.
Foreword xxiii
Preface xxv
1 Artificial Intelligence Disruption on the Brink of Revolutionizing HR and Marketing Functions 1(20)
Akansha Mer
Amarpreet Singh Virdi
1.1 Introduction
2(2)
1.2 Research Methodology
4(1)
1.2.1 Research Objectives
4(1)
1.2.2 Data Collection
4(1)
1.3 Artificial Intelligence in HRM
4(4)
1.3.1 Recruitment
5(1)
1.3.2 Engaging the Applicants and Employees
5(1)
1.3.3 Orientation and Onboarding
6(1)
1.3.4 Performance Appraisal
6(1)
1.3.5 Training
7(1)
1.3.6 Compensation
7(1)
1.3.7 Employee Retention
8(1)
1.4 Artificial Intelligence in Marketing
8(5)
1.4.1 Creation of Customer Profiles/Market Segmentation
9(1)
1.4.2 Cognizance of Consumers Purchase Behavior/ Intention
10(1)
1.4.3 Pricing
11(1)
1.4.4 Content/Product/Service Recommendations/ Search Optimization
11(1)
1.4.5 Sales Prediction Based on Consumer's Demographics
12(1)
1.4.6 Virtual Assistants/Real-Time Conversations
12(1)
1.4.7 Visual Searching
12(1)
1.4.8 CRM
13(1)
1.5 Discussion and Findings
13(1)
1.6 Implication for Managers
14(1)
1.7 Conclusion
15(1)
References
16(5)
2 Ring Trading to Algo Trading-A Paradigm Shift Made Possible by Artificial Intelligence 21(12)
Aditi R. Khandelwal
2.1 Introduction
22(1)
2.2 Ring Trading
22(1)
2.3 Features of Generation 1: Ring Trading
22(2)
2.4 Generation 2: Shifting to Online Platform
24(4)
2.5 Generation 3: Algo Trading
28(1)
2.6 Artificial Intelligence
29(1)
2.7 AI Stock Trading
30(1)
2.8 Algorithmic (Algo Trading) Trading
31(1)
2.9 Conclusion
31(1)
References
32(1)
3 AI in HR a Fairy Tale of Combining People, Process, and Technology in Managing the Human Resource 33(24)
Jyoti Jain
Sachin Gupta
3.1 Introduction
34(1)
3.2 Problem Recognition
35(1)
3.3 Journey of AI in HR "From Where Till What"
36(3)
3.4 Work Methodology of AI in HR
39(1)
3.5 Branches of AI in HR
39(2)
3.5.1 Machine Learning
39(1)
3.5.1.1 Variance Detection
39(1)
3.5.1.2 Background Verification
40(1)
3.5.1.3 Employees Abrasion/Attrition
40(1)
3.5.1.4 Personalized Content
40(1)
3.5.2 Deep Learning
40(1)
3.5.2.1 Important Use of Deep Learning in HR Context
40(1)
3.5.3 Natural Language Processing
41(1)
3.5.4 Recommendation Engines
41(1)
3.6 Implication Stages of AI in HR
41(2)
3.6.1 Automate
42(1)
3.6.2 Augment
42(1)
3.6.3 Amplify
42(1)
3.7 Process Model of AI in HR
43(1)
3.8 Key Roles of AI in HRM
44(1)
3.9 Broad Area of Uses of AI in HR
45(5)
3.9.1 Recruitment
46(1)
3.9.2 Interviews
46(1)
3.9.3 Reduction in the Human Biases
46(1)
3.9.4 Retention
47(1)
3.9.5 AI in Learning and Advancement
47(1)
3.9.6 Diminish Gender Bias Equality
47(1)
3.9.7 Candidate Engagement
48(1)
3.9.8 Prediction
48(1)
3.9.9 Smart People Analytics
48(1)
3.9.10 Employee Experience
48(2)
3.10 Dark Side of AI
50(4)
3.10.1 Technical Requirements and Acceptance
51(1)
3.10.2 Cost Involvement
52(1)
3.10.3 Machine Biases
52(1)
3.10.4 Job Losses
52(1)
3.10.5 Emotional Turmoil
53(1)
3.10.6 Fake Identity
53(1)
3.10.7 Having an Audit Trail
53(1)
3.10.8 Question on Decisions
54(1)
3.11 Conclusion
54(1)
References
55(2)
4 Effect of Artificial Intelligence on Human Resource Profession: A Paradigm Shift 57(16)
Jyoti Dashora
Karunesh Saxena
4.1 Introduction
58(1)
4.2 Evolution of Artificial Intelligence
59(2)
4.2.1 Phases of Artificial Intelligence
61(1)
4.3 Changing Role of Human Resource Professionals
61(2)
4.4 Effect of Artificial Intelligence on Human Resource Profession
63(5)
4.4.1 Symbiotic Relationship Between Artificial Intelligence and Human Resource Profession
67(1)
4.5 Limitations of Artificial Intelligence in HRM
68(1)
4.6 Conclusion
69(1)
References
70(3)
5 Artificial Intelligence in Animal Surveillance and Conservation 73(14)
Devendra Kumar
Saha Dev Jakhar
5.1 History
74(1)
5.2 Introduction
74(1)
5.3 Need of Artificial Intelligence
75(1)
5.4 Applications of AI in Animal Surveillance and Conservation
76(8)
5.4.1 In Livestock Monitoring
77(3)
5.4.1.1 Chip and Sensor (RFID)
78(1)
5.4.1.2 Microchip (GPS Tracker)
79(1)
5.4.1.3 Mobile Application
79(1)
5.4.1.4 Drone With Thermal Camera
79(1)
5.4.2 In Wildlife Animal Monitoring
80(4)
5.4.2.1 Motion Sensor Camera
80(1)
5.4.2.2 GPS Base Animal Tracker
81(1)
5.4.2.3 Smart Camera (Thermal Camera)
82(1)
5.4.2.4 Satellite Base Tag (Ringing, Callers)
82(1)
5.4.2.5 Acoustics/Sound Monitoring
82(1)
5.4.2.6 Radio Transmitter (Transponder)
83(1)
5.5 Some Other Tools of Artificial Intelligence
84(1)
5.5.1 Computer Software and Application
84(1)
5.5.1.1 Wildbook Comb (Bot)
84(1)
5.5.1.2 Betty
84(1)
5.5.1.3 Sensing Clues
84(1)
5.5.2 Resolve's Trail Guard
84(1)
References
85(2)
6 Impact of Artificial Intelligence on Digital Marketing 87(22)
Giuseppe Granata
Vincenzo Palumbo
6.1 Introduction
88(1)
6.2 The Impact That AI Has on Marketing
89(12)
6.2.1 The Data of Artificial Intelligence in Marketing
90(4)
6.2.1.1 The Audience: Highly Targeted Marketing Segmentation
92(1)
6.2.1.2 Journey to: The Customer's Road
92(1)
6.2.1.3 Offer to: Advice-Based Behavioral Marketing
92(2)
6.2.2 Number of Efficiency Powered by the Al Global Consumer Statistics
94(1)
6.2.3 Cloud Computing: How it Interfaces to Marketing Thanks to Big Data
95(3)
6.2.4 AI World is Made Also With BOT. Exactly What Are BOT?
98(1)
6.2.5 The Chatbot: Service Robot as Support of Customer Care
99(2)
6.3 The Community Regulation "GDPE" and Artificial Intelligence: Here's How Technology is Governed
101(2)
6.4 The Case Study Estee Lauder
103(1)
6.5 Conclusion
104(1)
References
105(4)
7 Role of Artificial Intelligence in Transforming the Face of Banking Organizations 109(14)
Shweta Solanki
Meera Mathur
Bhumika Rathore
7.1 Objectives
110(1)
7.2 Introduction
110(7)
7.2.1 Three Stages of Artificial Intelligence
111(1)
7.2.2 Different Types of Artificial Intelligence
111(1)
7.2.3 Trends and Need of Artificial Intelligence in Context of Indian Banking
111(2)
7.2.4 Uses and Role of Artificial Intelligence in Banks in the Opinion of
113(1)
7.2.5 Importance of Artificial Intelligence in Banking Practices and Operation
114(2)
7.2.5.1 Chat Bots
115(1)
7.2.5.2 Analytics
115(1)
7.2.5.3 Robotics Process Automation
115(1)
7.2.5.4 Generating Reports
115(1)
7.2.6 Impact of AI in Banking Operations
116(1)
7.2.6.1 Front Office Operations/Customer Centric
116(1)
7.2.6.2 Middle Office/Operation Centric
116(1)
7.2.6.3 Back Office/Decision Centric
116(1)
7.2.7 Future of Artificial Intelligence in Banks
116(1)
7.3 Existing Technology
117(1)
7.4 Methodology
117(1)
7.4.1 Search Process
118(1)
7.4.2 Selection Criteria and Review Process
118(1)
7.5 Findings
118(1)
7.6 Conclusion
119(1)
7.7 Suggestions
119(1)
References
120(3)
8 Artificial Intelligence and Energy Sector 123(8)
R. Oum Kumari
8.1 Introduction
123(2)
8.1.1 Increase in the Emission of Greenhouse Gases
124(1)
8.1.2 Increase in the Financial Burden
124(1)
8.1.3 Huge Power Deficit
124(1)
8.1.4 Water Scarcity
124(1)
8.2 Challenges of Indian Power Sector
125(3)
8.2.1 Global Warming
125(1)
8.2.2 Depletion of Coal
125(1)
8.2.3 Huge Financial Stress
126(1)
8.2.4 Power Crisis
126(1)
8.2.5 Health Issues
127(1)
8.2.6 Plant Load Factor
127(1)
8.2.7 Transmission and Distribution (T&D) Losses
128(1)
8.3 Artificial Intelligence for Energy Solutions
128(1)
References
129(2)
9 Impact of Artificial Intelligence on Development and Growth of Entrepreneurship 131(16)
Pooja Meena
Ankita Chaturvedi
Sachin Gupta
9.1 Introduction
132(1)
9.2 Entrepreneurship
133(1)
9.3 Artificial Intelligence
133(1)
9.4 Artificial Intelligence and Entrepreneurship
134(1)
9.5 Process of Entrepreneurship
135(3)
9.5.1 Entrepreneurial Recognition
135(1)
9.5.2 Human Capital
136(1)
9.5.3 Technology Requirements and Idea Generation
136(1)
9.5.4 Opportunity Recognition Phase
136(1)
9.5.5 Opportunity Development
136(1)
9.5.6 Resource Requirements
136(1)
9.5.7 Entrepreneurship
137(1)
9.5.8 Financial Resources
137(1)
9.5.9 Opportunity Exploitation
137(1)
9.5.10 Knowledge Networks
137(1)
9.5.11 Validation of the Product
137(1)
9.6 The Need of Artificial Intelligence for Business Development
138(3)
9.6.1 Consumer Satisfaction
138(1)
9.6.2 Cybercrime Protection
138(1)
9.6.3 CRMs
139(1)
9.6.4 AI-Based Analytics
139(1)
9.6.5 Demand and Supply Management
139(1)
9.6.6 Improved Maintenance and Better Equipment Safety
139(1)
9.6.7 Searching Capable Employees
140(1)
9.6.8 Virtual Assistance for Sales
140(1)
9.6.9 Improvements With Self-Driven Technologies
140(1)
9.7 Some Important Facts About AI
141(1)
9.8 Opportunities for Artificial Intelligence in Business
141(3)
9.8.1 AI in the Field of Marketing
141(1)
9.8.2 For Track Competitors
142(1)
9.8.3 Make Less Work of Huge Data
142(1)
9.8.4 AI as Customer Support System
142(1)
9.8.5 Artificial Intelligence in CRMs
143(1)
9.9 Further Research Possibilities
144(1)
9.10 Conclusion
144(1)
References
145(2)
10 An Exploratory Study on Role of Artificial Intelligence in Overcoming Biases to Promote Diversity and Inclusion Practices 147(18)
Bhumika Rathore
Meeera Mathur
Shweta Solanki
10.1 Introduction
148(2)
10.1.1 Objectives of the Study
149(1)
10.1.2 Background of the Study
149(1)
10.1.3 Relevance and Scope of the Study
149(1)
10.2 Research Gaps Identified
150(1)
10.3 Experiential Framework
150(11)
10.3.1 Hypothetical Research Model
151(1)
10.3.2 Methodology
151(1)
10.3.3 Search Process
152(1)
10.3.4 Selection Criteria and Review Process
152(1)
10.3.5 Systematic Representation of Literature Review
153(1)
10.3.6 Understanding Workforce Diversity
154(1)
10.3.7 Benefits and Challenges of Workforce Diversity
155(2)
10.3.8 Biases as Obstacles in Diversity and Inclusion Practices
157(2)
10.3.9 AI as a Tool to Prevent Bias and Promote D&I Practices
159(2)
10.4 Synthesis of the Study
161(1)
10.5 Managerial Implications and Conclusion
161(2)
References
163(2)
11 Artificial Intelligence: Revolutionizing India Byte by Byte 165(18)
Priyanka Jingar
Anju Singh
Sachin Gupta
11.1 Introduction
165(1)
11.2 Objectives of the
Chapter
166(1)
11.3 AI for India's Transformation
167(2)
11.4 Economic Impact of Artificial Intelligence
169(1)
11.5 Artificial Intelligence and its Impact on Various Sectors
170(8)
11.5.1 AI in Healthcare
171(1)
11.5.2 AI in Banking and Finance
172(1)
11.5.3 Artificial Intelligence in Education
173(2)
11.5.4 Artificial Intelligence in Agriculture Sector
175(1)
11.5.5 Artificial Intelligence in Smart Cities and Infrastructure
176(1)
11.5.6 AI in Smart Mobility and Transportation
177(1)
11.6 SWOT Analysis of Artificial Intelligence
178(3)
11.6.1 Strength
178(1)
11.6.2 Weakness
179(1)
11.6.3 Opportunity
179(1)
11.6.4 Threat
180(1)
11.7 Conclusion
181(1)
References
181(2)
12 AI: A New Strategic Method for Marketing and Sales Platforms 183(18)
Ravindar Meena
Ashmi Chhabra
Sachin Gupta
Manoj Gupta
12.1 Introduction
184(1)
12.2 Objectives of the
Chapter
184(1)
12.3 Importance of Artificial Intelligence
185(1)
12.4 Research Methodology
186(1)
12.5 AI: The Ultimate B2B Growth Accelerator
187(2)
12.5.1 AI Can Help Get Better Leads
187(1)
12.5.2 Predictive Analysis Improves Pitches
188(1)
12.5.3 Better Upsell Opportunities
188(1)
12.5.4 AI is an Excessive Digital Assistant
188(1)
12.5.5 AI and Improved Customer Conversations
188(1)
12.6 The Existing Methods of Marketing and Sales
189(1)
12.6.1 Being Lazy About Self-Promotion
189(1)
12.6.2 Avoiding Networking
189(1)
12.6.3 Bridging the New Product Launch Gap
190(1)
12.7 AI Will Shape Marketing Strategies of Startup in the Future
190(3)
12.7.1 Winning the Loots of Artificial Intelligence
192(1)
12.7.2 The Control of Artificial Intelligence and Recorded Data
192(1)
12.7.3 Artificial Intelligence the Game Changer for Small Businesses
192(1)
12.7.4 AI Selling and Marketing for E-Commerce
192(1)
12.7.5 Marketing Computerization to Modified Knowledge
193(1)
12.8 Artificial Intelligence is Shaking up the Job Market
193(2)
12.9 The Role of Artificial Intelligence and Machine Learning on Marketing
195(2)
12.9.1 Traditional and Modern Marketing
196(1)
12.10 Conclusion
197(1)
References
198(3)
13 Brain and Behavior: Blending of Human and Artificial Minds Toward Stress Recognition and Intervention in Organizational Well-Being 201(28)
Manisha D. Solanky
Sachin Gupta
13.1 Introduction
202(1)
13.2 Research Methodology
203(1)
13.3 Fundamentals of Stress
203(4)
13.3.1 Stress at Workplace
205(1)
13.3.2 Symptoms and Outcome of Stress
206(1)
13.4 Embracing AI Opportunity in Stress Management Interventions
207(1)
13.5 Existing Technology for Stress Recognition
208(10)
13.5.1 Smart Detection Devices
209(1)
13.5.2 Stress Detection Through Physiological Signals
209(1)
13.5.3 Sensor-Based Detection
210(1)
13.5.4 Deep Learning Approaches for Stress Detection
210(1)
13.5.5 Stress Detection Through Biofeedback Systems
210(2)
13.5.6 Stress Detection Through Virtual Reality
212(1)
13.5.7 Stress Detection Through Keyboard Strokes
213(1)
13.5.7.1 Chatbots for Depression, Stress, and Anxiety
213(1)
13.5.7.2 WYSA Chatbot
214(1)
13.5.8 Stress Intervention Based on Human-Technology Interaction
214(6)
13.5.8.1 Individual Level of Intervention
215(1)
13.5.8.2 Organization Level Intervention
215(1)
13.5.8.3 Devices Supporting Stress Interventions
216(2)
13.6 Discussion and Findings
218(2)
13.7 An AI-Eye to the Future
220(2)
13.7.1 Implications to Managers
220(1)
13.7.2 Implication to the Entrepreneurs
221(1)
13.8 Conclusion
222(1)
13.9 Limitations of AI in Human Resource Management
223(1)
13.10 Conclusion
223(1)
References
224(5)
14 Alternative Financing 229(16)
Suhasini Verma
14.1 Introduction
229(2)
14.1.1 Sources of Funds for Individuals
230(1)
14.1.2 Sources of Funds for Organizations
231(1)
14.2 Alternative Financing
231(4)
14.2.1 Features of Alternative Financing
231(4)
14.3 Models of Alternative Financing
235(2)
14.3.1 Peer-to-Peer Lending
235(1)
14.3.1.1 Peer-to-Peer Lending Types
235(1)
14.3.2 Crowdfunding
236(23)
14.3.2.1 Equity-Based Crowdfunding
236(1)
14.3.2.2 Profit Sharing Crowdfunding
236(1)
14.3.2.3 Reward-Based Crowdfunding
237(1)
14.3.2.4 Donation-Based Crowdfunding
237(1)
14.4 Scope of Alternative Financing in India
237(4)
14.5 Alternative Finance as a Tool of Financial Inclusion
241(1)
14.6 Regulation of Alternative Finance
241(1)
References
242(1)
Further Web Links
243(1)
Dissertation
243(2)
15 Application of Machine Learning in Open Government Database 245(14)
Shantanu P. Chakraborty
Parul Dashora
Sachin Gupta
15.1 Introduction
246(1)
15.2 Literature Review
246(1)
15.3 Overview of Open Government Data
247(1)
15.4 Open Government Data in India
248(3)
15.5 How to Create Value from Data
251(1)
15.6 Artificial Intelligence
251(1)
15.7 Why AI is Important?
252(1)
15.8 Machine Learning
252(2)
15.9 Concerns About Machine Learning on Government Database
254(1)
15.10 Conclusion
255(1)
References
255(4)
16 Artificial Intelligence: An Asset for the Financial Sector 259(30)
Swati Bandi
Anil Kothari
16.1 Introduction
259(6)
16.1.1 Phase I 1950-1983 Origin of AI and the First Hype Cycle
260(1)
16.1.2 II Phase 1983-2010 Reawakening of Artificial Intelligence
261(1)
16.1.3 III Phase 2011-2017 AI Domains Competing Humans
262(2)
16.1.4 The Present and the Future Phase (2018-2035)
264(1)
16.2 Types, Technology, and Application of AI
265(3)
16.2.1 Types of Artificial Intelligence
265(1)
16.2.2 Artificial Intelligence Technologies
265(1)
16.2.3 Applications of Artificial Intelligence
266(2)
16.3 Artificial Intelligence and Financial Services
268(16)
16.3.1 Artificial Intelligence and Insurance
269(6)
16.3.2 Artificial Intelligence and Stock Market
275(1)
16.3.2.1 From the History of Stock Exchange to the Development of Algo Trading in India
276(5)
16.3.2.2 What is Algorithmic Trading?
276(1)
16.3.2.3 Benefits of Algo Trading
277(1)
16.3.2.4 Algorithmic Trading Platforms
277(1)
16.3.2.5 Algo Trading Strategies
278(2)
16.3.2.6 Impact of Artificial Intelligence on Stock Market
280(1)
16.3.3 Artificial Intelligence and Mutual Funds
281(9)
16.3.3.1 Mutual Funds Use AI in the Following Ways
282(1)
16.3.3.2 Quantitative Fund's Investment Process
282(1)
16.3.3.3 Quantitative Fund-Choosing Stocks Strategy
283(1)
16.3.3.4 The Other Way Around
284(1)
16.4 Conclusion
284(1)
16.5 Glossary
285(1)
References
286(1)
Bibliography
287(2)
17 Artificial Intelligence With Special Reference to Blockchain Technology: A Future of Accounting 289(16)
Ashish Porwal
Ankita Chaturvedi
Sachin Gupta
17.1 Introduction
290(2)
17.1.1 Artificial Intelligence and Accounting
290(1)
17.1.2 Blockchain in Finance and Accounting
290(2)
17.2 Objectives
292(1)
17.3 Literature Review
292(3)
17.3.1 Janling Shi
292(1)
17.3.2 Nordgren et al.
293(1)
17.3.3 Kiwilinski
293(1)
17.3.4 Ahmed Farah
293(1)
17.3.5 Odoh Longinus Chukwudi
294(1)
17.3.6 Potekhina and Rumkin
294(1)
17.4 Research Methodology
295(1)
17.5 Usage of Artificial Intelligence in Accounting
295(2)
17.6 Usage of Blockchain in Accounting
297(3)
17.6.1 Bitcoin
297(1)
17.6.2 Interbank Transactions
298(1)
17.6.3 Property Registry
299(1)
17.7 Impact of AI on the Field of HRM
300(1)
17.8 Challenges in Execution
301(1)
17.9 Conclusion
301(1)
References
302(3)
18 AI-Implanted E-Learning 4.0: A New Paradigm in Higher Education 305(22)
Garima Kothari
B.L. Verma
18.1 Introduction
306(1)
18.2 Research Methodology
307(1)
18.2.1 Objective
307(1)
18.2.2 Research Approach
307(1)
18.2.3 Types and Sources of Data
307(1)
18.3 Progression of Web and E-Learning
307(6)
18.3.1 Some Relevant Definitions Distance Education
307(1)
18.3.2 E-Learning
308(1)
18.3.3 E-Learning 1.0-4.0
308(5)
18.3.3.1 Web 1.0 E-Learning 1.0 (Link to Anything): 1997 to 2003
308(1)
18.3.3.2 Web 2.0 E-Learning 2.0 (User Involvement): 2004 to 2006
308(1)
18.3.3.3 Web 3.0 E-Learning 3.0 (Existing Data Reconnected): 2007 to 2011
308(1)
18.3.3.4 Web 4.0 (Read/Write/Execute/Concurrency From 2012)
309(4)
18.4 Artificial Intelligence in Learning
313(3)
18.4.1 What is Artificial Intelligence?
313(1)
18.4.2 AI En Routed the Learning
314(2)
18.4.2.1 Smart Learning Content
314(1)
18.4.2.2 Intelligent Tutoring Systems
315(1)
18.4.2.3 Virtual Facilitators and Learning Environments
315(1)
18.4.2.4 Content Analytics
315(1)
18.4.2.5 Paving New Learning Pathways in the Coming Decade
316(1)
18.5 Impact of Artificial Intelligence in Education (AIEd)
316(5)
18.5.1 Will AI Take Over From Humans?
316(1)
18.5.2 AI-Implanted E-Learning
317(2)
18.5.2.1 Avatars
317(1)
18.5.2.2 Hyper-Reality
318(1)
18.5.2.3 The Hyper Class in Virtual Universities
318(1)
18.5.2.4 JITAITs
319(1)
18.5.3 Recommendations to Help Unleash Intelligence
319(11)
18.5.3.1 Pedagogy
320(1)
18.5.3.2 Technology
320(1)
18.5.3.3 System Change
321(1)
18.6 Conclusion
321(1)
Concise Summary
322(1)
References
322(5)
19 Artificial Intelligence in Banking Industry 327(22)
Garima Kaneria
19.1 Introduction
327(2)
19.2 Banking on Artificial Intelligence
329(1)
19.3 Role of Artificial Intelligence in Shaping Indian Banking Industry
330(4)
19.3.1 Detection of Anti-Money Laundering Pattern
330(1)
19.3.2 Chatbots
330(1)
19.3.3 Algorithmic Trading
331(1)
19.3.4 Fraud Detection
332(1)
19.3.5 Customer Suggestions
332(1)
19.3.6 Personalized Banking
332(1)
19.3.7 Digital Payments
333(1)
19.3.8 Robo Advisors
334(1)
19.4 Influence of Artificial Intelligence on Indian Banking Industry
334(2)
19.5 Reasons Behind Elongated Adoption of Artificial Intelligence in Banking Industry
336(2)
19.5.1 Cut-Throat Competition in Banking Sector
336(1)
19.5.2 Push for Process-Driven Services
336(1)
19.5.3 Introduction of Self-Service at Banks
336(1)
19.5.4 Customer Demand for More Customized Solutions
336(1)
19.5.5 Creating Operational Efficiencies
336(1)
19.5.6 Increasing Employee Productivity
337(1)
19.5.7 To Help Focus on Profitability and Compliance
337(1)
19.5.8 Use of Robotics Software
337(1)
19.5.9 To Reduce Fraud and Risk Associated With Security
337(1)
19.5.10 To Manage Large Information and Derive Value Insight
337(1)
19.5.11 To Bring in Effective Decision-Making
338(1)
19.6 Indian Banks Using Artificial Intelligence
338(3)
19.6.1 State Bank of India
338(1)
19.6.2 Bank of Baroda
339(1)
19.6.3 Allahabad Bank
339(1)
19.6.4 Andhra Bank
339(1)
19.6.5 YES Bank
339(1)
19.6.6 Housing Development Finance Corporation (HDFC)
339(1)
19.6.7 Industrial Credit and Investment Corporation of India (ICICI)
340(1)
19.6.8 Axis Bank
340(1)
19.6.9 Canara Bank
340(1)
19.6.10 Punjab National Bank
340(1)
19.6.11 IndusInd Bank
340(1)
19.6.12 City Union Bank
341(1)
19.7 Pros and Cons of Artificial Intelligence in Banking Sector
341(3)
19.7.1 Pros
341(2)
19.7.1.1 Tracking of Transactional and Other Data Sources
341(1)
19.7.1.2 Identification of Pattern Which May Be Eluded by Human Observers
341(1)
19.7.1.3 Risk Assessment
341(1)
19.7.1.4 Secure and Swift Transaction
342(1)
19.7.1.5 Protection of Personal Data
342(1)
19.7.1.6 Hedge Fund Trading and Management
342(1)
19.7.1.7 Quick Transaction
342(1)
19.7.1.8 Reduce Cost and Time
342(1)
19.7.1.9 Upgraded Personnel Effectiveness and Customer Observation
342(1)
19.7.1.10 Enhanced Banking Services
343(1)
19.7.2 Cons
343(1)
19.7.2.1 High Cost
343(1)
19.7.2.2 Bad Calls
343(1)
19.7.2.3 Distribution of Power
343(1)
19.7.2.4 Unemployment
343(1)
19.8 Intelligent Mobile Applications Drive Growth in Banking
344(1)
19.8.1 Investment
344(1)
19.8.2 Accounting
344(1)
19.8.3 Banking Apps
345(1)
19.8.4 Digital Wallet Apps
345(1)
19.9 Conclusion
345(1)
References
346(3)
20 The Potential of Artificial Intelligence in Public Healthcare Industry 349(12)
Megha Shrivastava
Devendra Kumar
20.1 Introduction
350(8)
20.1.1 Drug Discovery
350(2)
20.1.1.1 The Main Stages of Drug Discovery Might Take Several Years in Completion
351(1)
20.1.1.2 Companies or Startups Used AI Techniques for Drug Discovery
351(1)
20.1.2 Medical Imaging
352(2)
20.1.2.1 Areas of Medical Imaging
352(1)
20.1.2.2 Some Applications for AI in Medical Imaging Are at Present Applied in General Healthcare
353(1)
20.1.3 Disease Prevention
354(1)
20.1.3.1 Areas of Disease Prevention, Supported by AI System
354(1)
20.1.3.2 Some Recent Software Used for Disease Prevention
354(1)
20.1.4 Medical Diagnosis
355(2)
20.1.4.1 Categories of AI Tools for Disease Diagnosis
355(1)
20.1.4.2 Software Developed for Disease Diagnosis
356(1)
20.1.4.3 Making Smartphone as Powerful Diagnostic Tools
357(1)
20.1.5 Robotic AI
357(1)
20.2 The Future of Artificial Intelligence in Healthcare
358(1)
References
359(2)
21 Banks to Lead Digital Transformation With Artificial Intelligence 361(26)
Lavika Jaroli
Sachin Gupta
Parul Dashora
21.1 Artificial Intelligence
362(5)
21.1.1 Human Versus Artificial Intelligence
363(1)
21.1.2 Difference Between AI, NLP, NN, ML, or DL
363(2)
21.1.3 Types of Artificial Intelligence
365(1)
21.1.4 Innovations in Indian Banking Through IT
366(1)
21.1.5 A Short History of Artificial Intelligence
366(1)
21.2 Artificial Intelligence History Timeline
367(2)
21.2.1 Objectives
367(1)
21.2.2 Scope
367(2)
21.2.3 Methodology
369(1)
21.3 Why Artificial Intelligence in Banks
369(1)
21.4 Goal of Artificial Intelligence
370(2)
21.4.1 Innovations in Indian Banking Through IT
370(1)
21.4.2 Innovation in Indian Banking Sectors
370(2)
21.5 Artificial Intelligences Using by Different Banks
372(3)
21.6 Implementation of Artificial Intelligence in Banking
375(2)
21.7 Path Ahead Chatbots in Banking
377(2)
21.8 Advantage of Artificial Intelligence in Banking Sector
379(1)
21.9 Types of Risks and Threats Associated With Banking
380(1)
21.10 Nature of Risks in Wireless Banking
380(3)
21.11 Advent of Information Technology in Indian Banking Sector
383(1)
21.12 Future Scope of AI
384(1)
21.13 Conclusion
384(1)
References
384(3)
22 Effectiveness of E-HRM Tools Using the Functionalities of Artificial Intelligence During Remote Working in Lockdown Period 387(9)
Nidhi Saxena
Aditi R. Khandelwal
22.1 Introduction
388(2)
22.1.1 Artificial Intelligence in Electronic HR Management
389(1)
22.1.1.1 Prospective Employee Engagement and Development
389(1)
22.1.1.2 Employee Training
390(1)
22.1.1.3 Candidate Selection for Recruitment
390(1)
22.1.1.4 Development Needs of Employees
390(1)
22.2 Literature Review
390(1)
22.3 Objective of the Study
391(1)
22.4 Research Methodology
392(1)
22.5 Impact and Efficiency of AI-Enabled EHRM Tools in Work From Home Scenario Under Lockdown
392(3)
22.6 Conclusion
395(1)
Reading List 396(3)
Index 399
S. Balamurugan, PhD, SMIEEE and ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels.

Sonal Pathak, PhD is an associate professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.

Anupriya Jain, PhD is an associate professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.

Sachin Gupta, PhD is at the Department of Business Administration, Mohanlal Sukhadia University, Udaipur, Rajasthan, India.

Sachin Sharma is an assistant professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.

Sonia Duggal, PhD is an assistant professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.
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