Impact of Artificial Intelligence on Organizational Transformation

ISBN-13: 9781119710172 / Angielski / Twarda / 2022 / 448 str.

S. Balamurugan; Sonal Pathak; Anupriya Jain

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Foreword xxiiiPreface xxv1 Artificial Intelligence Disruption on the Brink of Revolutionizing HR and Marketing Functions 1Akansha Mer and Amarpreet Singh Virdi1.1 Introduction 21.2 Research Methodology 41.2.1 Research Objectives 41.2.2 Data Collection 41.3 Artificial Intelligence in HRM 41.3.1 Recruitment 51.3.2 Engaging the Applicants and Employees 51.3.3 Orientation and Onboarding 61.3.4 Performance Appraisal 61.3.5 Training 71.3.6 Compensation 71.3.7 Employee Retention 81.4 Artificial Intelligence in Marketing 81.4.1 Creation of Customer Profiles/Market Segmentation 91.4.2 Cognizance of Consumers Purchase Behavior/Intention 101.4.3 Pricing 111.4.4 Content/Product/Service Recommendations/Search Optimization 111.4.5 Sales Prediction Based on Consumer's Demographics 121.4.6 Virtual Assistants/Real-Time Conversations 121.4.7 Visual Searching 121.4.8 CRM 131.5 Discussion and Findings 131.6 Implication for Managers 141.7 Conclusion 15References 162 Ring Trading to Algo Trading--A Paradigm Shift Made Possible by Artificial Intelligence 21Aditi R. Khandelwal2.1 Introduction 222.2 Ring Trading 222.3 Features of Generation 1: Ring Trading 222.4 Generation 2: Shifting to Online Platform 242.5 Generation 3: Algo Trading 282.6 Artificial Intelligence 292.7 AI Stock Trading 302.8 Algorithmic (Algo Trading) Trading 312.9 Conclusion 31References 323 AI in HR a Fairy Tale of Combining People, Process, and Technology in Managing the Human Resource 33Jyoti Jain and Sachin Gupta3.1 Introduction 343.2 Problem Recognition 353.3 Journey of AI in HR "From Where Till What" 363.4 Work Methodology of AI in HR 393.5 Branches of AI in HR 393.5.1 Machine Learning 393.5.1.1 Variance Detection 393.5.1.2 Background Verification 403.5.1.3 Employees Abrasion/Attrition 403.5.1.4 Personalized Content 403.5.2 Deep Learning 403.5.2.1 Important Use of Deep Learning in HR Context 403.5.3 Natural Language Processing 413.5.4 Recommendation Engines 413.6 Implication Stages of AI in HR 413.6.1 Automate 423.6.2 Augment 423.6.3 Amplify 423.7 Process Model of AI in HR 433.8 Key Roles of AI in HRM 443.9 Broad Area of Uses of AI in HR 453.9.1 Recruitment 463.9.2 Interviews 463.9.3 Reduction in the Human Biases 463.9.4 Retention 473.9.5 AI in Learning and Advancement 473.9.6 Diminish Gender Bias Equality 473.9.7 Candidate Engagement 483.9.8 Prediction 483.9.9 Smart People Analytics 483.9.10 Employee Experience 483.10 Dark Side of AI 503.10.1 Technical Requirements and Acceptance 513.10.2 Cost Involvement 523.10.3 Machine Biases 523.10.4 Job Losses 523.10.5 Emotional Turmoil 533.10.6 Fake Identity 533.10.7 Having an Audit Trail 533.10.8 Question on Decisions 543.11 Conclusion 54References 554 Effect of Artificial Intelligence on Human Resource Profession: A Paradigm Shift 57Jyoti Dashora and Karunesh Saxena4.1 Introduction 584.2 Evolution of Artificial Intelligence 594.2.1 Phases of Artificial Intelligence 614.3 Changing Role of Human Resource Professionals 614.4 Effect of Artificial Intelligence on Human Resource Profession 634.4.1 Symbiotic Relationship Between Artificial Intelligence and Human Resource Profession 674.5 Limitations of Artificial Intelligence in HRM 684.6 Conclusion 69References 705 Artificial Intelligence in Animal Surveillance and Conservation 73Devendra Kumar and Saha Dev Jakhar5.1 History 745.2 Introduction 745.3 Need of Artificial Intelligence 755.4 Applications of AI in Animal Surveillance and Conservation 765.4.1 In Livestock Monitoring 775.4.1.1 Chip and Sensor (RFID) 785.4.1.2 Microchip (GPS Tracker) 795.4.1.3 Mobile Application 795.4.1.4 Drone With Thermal Camera 795.4.2 In Wildlife Animal Monitoring 805.4.2.1 Motion Sensor Camera 805.4.2.2 GPS Base Animal Tracker 815.4.2.3 Smart Camera (Thermal Camera) 825.4.2.4 Satellite Base Tag (Ringing, Callers) 825.4.2.5 Acoustics/Sound Monitoring 825.4.2.6 Radio Transmitter (Transponder) 835.5 Some Other Tools of Artificial Intelligence 845.5.1 Computer Software and Application 845.5.1.1 Wildbook Comb (Bot) 845.5.1.2 Betty 845.5.1.3 Sensing Clues 845.5.2 Resolve's Trail Guard 84References 856 Impact of Artificial Intelligence on Digital Marketing 87Giuseppe Granata and Vincenzo Palumbo6.1 Introduction 886.2 The Impact That AI Has on Marketing 896.2.1 The Data of Artificial Intelligence in Marketing 906.2.1.1 The Audience: Highly Targeted Marketing Segmentation 926.2.1.2 Journey to: The Customer's Road 926.2.1.3 Offer to: Advice-Based Behavioral Marketing 926.2.2 Number of Efficiency Powered by the Al Global Consumer Statistics 946.2.3 Cloud Computing: How it Interfaces to Marketing Thanks to Big Data 956.2.4 AI World is Made Also With BOT. Exactly What Are BOT? 986.2.5 The Chatbot: Service Robot as Support of Customer Care 996.3 The Community Regulation "GDPE" and Artificial Intelligence: Here's How Technology is Governed 1016.4 The Case Study Estée Lauder 1036.5 Conclusion 104References 1057 Role of Artificial Intelligence in Transforming the Face of Banking Organizations 109Shweta Solanki, MeeraMathur and BhumikaRathore7.1 Objectives 1107.2 Introduction 1107.2.1 Three Stages of Artificial Intelligence 1117.2.2 Different Types of Artificial Intelligence 1117.2.3 Trends and Need of Artificial Intelligence in Context of Indian Banking 1117.2.4 Uses and Role of Artificial Intelligence in Banks in the Opinion of 1137.2.5 Importance of Artificial Intelligence in Banking Practices and Operation 1147.2.5.1 Chat Bots 1157.2.5.2 Analytics 1157.2.5.3 Robotics Process Automation 1157.2.5.4 Generating Reports 1157.2.6 Impact of AI in Banking Operations 1167.2.6.1 Front Office Operations/Customer Centric 1167.2.6.2 Middle Office/Operation Centric 1167.2.6.3 Back Office/Decision Centric 1167.2.7 Future of Artificial Intelligence in Banks 1167.3 Existing Technology 1177.4 Methodology 1177.4.1 Search Process 1187.4.2 Selection Criteria and Review Process 1187.5 Findings 1187.6 Conclusion 1197.7 Suggestions 119References 1208 Artificial Intelligence and Energy Sector 123Oum Kumari R8.1 Introduction 1238.1.1 Increase in the Emission of Greenhouse Gases 1248.1.2 Increase in the Financial Burden 1248.1.3 Huge Power Deficit 1248.1.4 Water Scarcity 1248.2 Challenges of Indian Power Sector 1258.2.1 Global Warming 1258.2.2 Depletion of Coal 1258.2.3 Huge Financial Stress 1268.2.4 Power Crisis 1268.2.5 Health Issues 1278.2.6 Plant Load Factor 1278.2.7 Transmission and Distribution (T&D) Losses 1288.3 Artificial Intelligence for Energy Solutions 128References 1299 Impact of Artificial Intelligence on Development and Growth of Entrepreneurship 131Pooja Meena, Ankita Chaturvedi and Sachin Gupta9.1 Introduction 1329.2 Entrepreneurship 1339.3 Artificial Intelligence 1339.4 Artificial Intelligence and Entrepreneurship 1349.5 Process of Entrepreneurship 1359.5.1 Entrepreneurial Recognition 1359.5.2 Human Capital 1369.5.3 Technology Requirements and Idea Generation 1369.5.4 Opportunity Recognition Phase 1369.5.5 Opportunity Development 1369.5.6 Resource Requirements 1369.5.7 Entrepreneurship 1379.5.8 Financial Resources 1379.5.9 Opportunity Exploitation 1379.5.10 Knowledge Networks 1379.5.11 Validation of the Product 1379.6 The Need of Artificial Intelligence for Business Development 1389.6.1 Consumer Satisfaction 1389.6.2 Cybercrime Protection 1389.6.3 CRMs 1399.6.4 AI-Based Analytics 1399.6.5 Demand and Supply Management 1399.6.6 Improved Maintenance and Better Equipment Safety 1399.6.7 Searching Capable Employees 1409.6.8 Virtual Assistance for Sales 1409.6.9 Improvements With Self-Driven Technologies 1409.7 Some Important Facts About AI 1419.8 Opportunities for Artificial Intelligence in Business 1419.8.1 AI in the Field of Marketing 1419.8.2 For Track Competitors 1429.8.3 Make Less Work of Huge Data 1429.8.4 AI as Customer Support System 1429.8.5 Artificial Intelligence in CRMs 1439.9 Further Research Possibilities 1449.10 Conclusion 144References 14510 An Exploratory Study on Role of Artificial Intelligence in Overcoming Biases to Promote Diversity and Inclusion Practices 147Bhumika Rathore, Meeera Mathur and Shweta Solanki10.1 Introduction 14810.1.1 Objectives of the Study 14910.1.2 Background of the Study 14910.1.3 Relevance and Scope of the Study 14910.2 Research Gaps Identified 15010.3 Experiential Framework 15010.3.1 Hypothetical Research Model 15110.3.2 Methodology 15110.3.3 Search Process 15210.3.4 Selection Criteria and Review Process 15210.3.5 Systematic Representation of Literature Review 15310.3.6 Understanding Workforce Diversity 15410.3.7 Benefits and Challenges of Workforce Diversity 15510.3.8 Biases as Obstacles in Diversity and Inclusion Practices 15710.3.9 AI as a Tool to Prevent Bias and Promote D&I Practices 15910.4 Synthesis of the Study 16110.5 Managerial Implications and Conclusion 161References 16311 Artificial Intelligence: Revolutionizing India Byte by Byte 165Priyanka Jingar, Anju Singh and Sachin Gupta11.1 Introduction 16511.2 Objectives of the Chapter 16611.3 AI for India's Transformation 16711.4 Economic Impact of Artificial Intelligence 16911.5 Artificial Intelligence and its Impact on Various Sectors 17011.5.1 AI in Healthcare 17111.5.2 AI in Banking and Finance 17211.5.3 Artificial Intelligence in Education 17311.5.4 Artificial Intelligence in Agriculture Sector 17511.5.5 Artificial Intelligence in Smart Cities and Infrastructure 17611.5.6 AI in Smart Mobility and Transportation 17711.6 SWOT Analysis of Artificial Intelligence 17811.6.1 Strength 17811.6.2 Weakness 17911.6.3 Opportunity 17911.6.4 Threat 18011.7 Conclusion 181References 18112 AI: A New Strategic Method for Marketing and Sales Platforms 183Ravindar Meena, Ashmi Chhabra, Sachin Gupta and Manoj Gupta12.1 Introduction 18412.2 Objectives of the Chapter 18412.3 Importance of Artificial Intelligence 18512.4 Research Methodology 18612.5 AI: The Ultimate B2B Growth Accelerator 18712.5.1 AI Can Help Get Better Leads 18712.5.2 Predictive Analysis Improves Pitches 18812.5.3 Better Upsell Opportunities 18812.5.4 AI is an Excessive Digital Assistant 18812.5.5 AI and Improved Customer Conversations 18812.6 The Existing Methods of Marketing and Sales 18912.6.1 Being Lazy About Self-Promotion 18912.6.2 Avoiding Networking 18912.6.3 Bridging the New Product Launch Gap 19012.7 AI Will Shape Marketing Strategies of Startup in the Future 19012.7.1 Winning the Loots of Artificial Intelligence 19212.7.2 The Control of Artificial Intelligence and Recorded Data 19212.7.3 Artificial Intelligence the Game Changer for Small Businesses 19212.7.4 AI Selling and Marketing for E-Commerce 19212.7.5 Marketing Computerization to Modified Knowledge 19312.8 Artificial Intelligence is Shaking up the Job Market 19312.9 The Role of Artificial Intelligence and Machine Learning on Marketing 19512.9.1 Traditional and Modern Marketing 19612.10 Conclusion 197References 19813 Brain and Behavior: Blending of Human and Artificial Minds Toward Stress Recognition and Intervention in Organizational Well-Being 201Manisha D. Solanky and Sachin Gupta13.1 Introduction 20213.2 Research Methodology 20313.3 Fundamentals of Stress 20313.3.1 Stress at Workplace 20513.3.2 Symptoms and Outcome of Stress 20613.4 Embracing AI Opportunity in Stress Management Interventions 20713.5 Existing Technology for Stress Recognition 20813.5.1 Smart Detection Devices 20913.5.2 Stress Detection Through Physiological Signals 20913.5.3 Sensor-Based Detection 21013.5.4 Deep Learning Approaches for Stress Detection 21013.5.5 Stress Detection Through Biofeedback Systems 21013.5.6 Stress Detection Through Virtual Reality 21213.5.7 Stress Detection Through Keyboard Strokes 21313.5.7.1 Chatbots for Depression, Stress, and Anxiety 21313.5.7.2 WYSA Chatbot 21413.5.8 Stress Intervention Based on Human-Technology Interaction 21413.5.8.1 Individual Level of Intervention 21513.5.8.2 Organization Level Intervention 21513.5.8.3 Devices Supporting Stress Interventions 21613.6 Discussion and Findings 21813.7 An AI--Eye to the Future 22013.7.1 Implications to Managers 22013.7.2 Implication to the Entrepreneurs 22113.8 Conclusion 22213.9 Limitations of AI in Human Resource Management 22313.10 Conclusion 223References 22414 Alternative Financing 229Suhasini Verma14.1 Introduction 22914.1.1 Sources of Funds for Individuals 23014.1.2 Sources of Funds for Organizations 23114.2 Alternative Financing 23114.2.1 Features of Alternative Financing 23114.3 Models of Alternative Financing 23514.3.1 Peer-to-Peer Lending 23514.3.1.1 Peer-to-Peer Lending Types 23514.3.2 Crowdfunding 23614.3.2.1 Equity-Based Crowdfunding 23614.3.2.2 Profit Sharing Crowdfunding 23614.3.2.3 Reward-Based Crowdfunding 23714.3.2.4 Donation-Based Crowdfunding 23714.4 Scope of Alternative Financing in India 23714.5 Alternative Finance as a Tool of Financial Inclusion 24114.6 Regulation of Alternative Finance 241References 242Further Web Links 243Dissertation 24315 Application of Machine Learning in Open Government Database 245Shantanu P. Chakraborty, Parul Dashora and Sachin Gupta15.1 Introduction 24615.2 Literature Review 24615.3 Overview of Open Government Data 24715.4 Open Government Data in India 24815.5 How to Create Value from Data 25115.6 Artificial Intelligence 25115.7 Why AI is Important? 25215.8 Machine Learning 25215.9 Concerns About Machine Learning on Government Database 25415.10 Conclusion 255References 25516 Artificial Intelligence: An Asset for the Financial Sector 259Swati Bandi and Anil Kothari16.1 Introduction 25916.1.1 Phase I 1950-1983 Origin of AI and the First Hype Cycle 26016.1.2 II Phase 1983-2010 Reawakening of Artificial Intelligence 26116.1.3 III Phase 2011-2017 AI Domains Competing Humans 26216.1.4 The Present and the Future Phase (2018-2035) 26416.2 Types, Technology, and Application of AI 26516.2.1 Types of Artificial Intelligence 26516.2.2 Artificial Intelligence Technologies 26516.2.3 Applications of Artificial Intelligence 26616.3 Artificial Intelligence and Financial Services 26816.3.1 Artificial Intelligence and Insurance 26916.3.2 Artificial Intelligence and Stock Market 27516.3.2.1 From the History of Stock Exchange to the Development of Algo Trading in India 27616.3.2.2 What is Algorithmic Trading? 27616.3.2.3 Benefits of Algo Trading 27716.3.2.4 Algorithmic Trading Platforms 27716.3.2.5 Algo Trading Strategies 27816.3.2.6 Impact of Artificial Intelligence on Stock Market 28016.3.3 Artificial Intelligence and Mutual Funds 28116.3.3.1 Mutual Funds Use AI in the Following Ways 28216.3.3.2 Quantitative Fund's Investment Process 28216.3.3.3 Quantitative Fund--Choosing Stocks Strategy 28316.3.3.4 The Other Way Around 28416.4 Conclusion 28416.5 Glossary 285References 286Bibliography 28717 Artificial Intelligence With Special Reference to Blockchain Technology: A Future of Accounting 289Ashish Porwal, Ankita Chaturvedi and Sachin Gupta17.1 Introduction 29017.1.1 Artificial Intelligence and Accounting 29017.1.2 Blockchain in Finance and Accounting 29017.2 Objectives 29217.3 Literature Review 29217.3.1 Janling Shi 29217.3.2 Nordgren et al. 29317.3.3 Kiwilinski 29317.3.4 Ahmed Farah 29317.3.5 Odoh Longinus Chukwudi 29417.3.6 Potekhina and Rumkin 29417.4 Research Methodology 29517.5 Usage of Artificial Intelligence in Accounting 29517.6 Usage of Blockchain in Accounting 29717.6.1 Bitcoin 29717.6.2 Interbank Transactions 29817.6.3 Property Registry 29917.7 Impact of AI on the Field of HRM 30017.8 Challenges in Execution 30117.9 Conclusion 301References 30218 AI-Implanted E-Learning 4.0: A New Paradigm in Higher Education 305Garima Kothari and B.L. Verma18.1 Introduction 30618.2 Research Methodology 30718.2.1 Objective 30718.2.2 Research Approach 30718.2.3 Types and Sources of Data 30718.3 Progression of Web and E-Learning 30718.3.1 Some Relevant Definitions Distance Education 30718.3.2 E-Learning 30818.3.3 E-Learning 1.0-4.0 30818.3.3.1 Web 1.0 E-Learning 1.0 (Link to Anything): 1997 to 2003 30818.3.3.2 Web 2.0 E-Learning 2.0 (User Involvement): 2004 to 2006 30818.3.3.3 Web 3.0 E-Learning 3.0 (Existing Data Reconnected): 2007 to 2011 30818.3.3.4 Web 4.0 (Read/Write/Execute/Concurrency From 2012) 30918.4 Artificial Intelligence in Learning 31318.4.1 What is Artificial Intelligence? 31318.4.2 AI En Routed the Learning 31418.4.2.1 Smart Learning Content 31418.4.2.2 Intelligent Tutoring Systems 31518.4.2.3 Virtual Facilitators and Learning Environments 31518.4.2.4 Content Analytics 31518.4.2.5 Paving New Learning Pathways in the Coming Decade 31618.5 Impact of Artificial Intelligence in Education (AIEd) 31618.5.1 Will AI Take Over From Humans? 31618.5.2 AI-Implanted E-Learning 31718.5.2.1 Avatars 31718.5.2.2 Hyper-Reality 31818.5.2.3 The Hyper Class in Virtual Universities 31818.5.2.4 JITAITs 31918.5.3 Recommendations to Help Unleash Intelligence 31918.5.3.1 Pedagogy 32018.5.3.2 Technology 32018.5.3.3 System Change 32118.6 Conclusion 321Concise Summary 322References 32219 Artificial Intelligence in Banking Industry 327GarimaKaneria19.1 Introduction 32719.2 Banking on Artificial Intelligence 32919.3 Role of Artificial Intelligence in Shaping Indian Banking Industry 33019.3.1 Detection of Anti-Money Laundering Pattern 33019.3.2 Chatbots 33019.3.3 Algorithmic Trading 33119.3.4 Fraud Detection 33219.3.5 Customer Suggestions 33219.3.6 Personalized Banking 33219.3.7 Digital Payments 33319.3.8 Robo Advisors 33419.4 Influence of Artificial Intelligence on Indian Banking Industry 33419.5 Reasons Behind Elongated Adoption of Artificial Intelligence in Banking Industry 33619.5.1 Cut-Throat Competition in Banking Sector 33619.5.2 Push for Process-Driven Services 33619.5.3 Introduction of Self-Service at Banks 33619.5.4 Customer Demand for More Customized Solutions 33619.5.5 Creating Operational Efficiencies 33619.5.6 Increasing Employee Productivity 33719.5.7 To Help Focus on Profitability and Compliance 33719.5.8 Use of Robotics Software 33719.5.9 To Reduce Fraud and Risk Associated With Security 33719.5.10 To Manage Large Information and Derive Value Insight 33719.5.11 To Bring in Effective Decision-Making 33819.6 Indian Banks Using Artificial Intelligence 33819.6.1 State Bank of India 33819.6.2 Bank of Baroda 33919.6.3 Allahabad Bank 33919.6.4 Andhra Bank 33919.6.5 YES Bank 33919.6.6 Housing Development Finance Corporation (HDFC) 33919.6.7 Industrial Credit and Investment Corporation of India (ICICI) 34019.6.8 Axis Bank 34019.6.9 Canara Bank 34019.6.10 Punjab National Bank 34019.6.11 IndusInd Bank 34019.6.12 City Union Bank 34119.7 Pros and Cons of Artificial Intelligence in Banking Sector 34119.7.1 Pros 34119.7.1.1 Tracking of Transactional and Other Data Sources 34119.7.1.2 Identification of Pattern Which May Be Eluded by Human Observers 34119.7.1.3 Risk Assessment 34119.7.1.4 Secure and Swift Transaction 34219.7.1.5 Protection of Personal Data 34219.7.1.6 Hedge Fund Trading and Management 34219.7.1.7 Quick Transaction 34219.7.1.8 Reduce Cost and Time 34219.7.1.9 Upgraded Personnel Effectiveness and Customer Observation 34219.7.1.10 Enhanced Banking Services 34319.7.2 Cons 34319.7.2.1 High Cost 34319.7.2.2 Bad Calls 34319.7.2.3 Distribution of Power 34319.7.2.4 Unemployment 34319.8 Intelligent Mobile Applications Drive Growth in Banking 34419.8.1 Investment 34419.8.2 Accounting 34419.8.3 Banking Apps 34519.8.4 Digital Wallet Apps 34519.9 Conclusion 345References 34620 The Potential of Artificial Intelligence in Public Healthcare Industry 349Megha Shrivastava and Devendra Kumar20.1 Introduction 35020.1.1 Drug Discovery 35020.1.1.1 The Main Stages of Drug Discovery Might Take Several Years in Completion 35120.1.1.2 Companies or Startups Used AI Techniques for Drug Discovery 35120.1.2 Medical Imaging 35220.1.2.1 Areas of Medical Imaging 35220.1.2.2 Some Applications for AI in Medical Imaging Are at Present Applied in General Healthcare 35320.1.3 Disease Prevention 35420.1.3.1 Areas of Disease Prevention, Supported by AI System 35420.1.3.2 Some Recent Software Used for Disease Prevention 35420.1.4 Medical Diagnosis 35520.1.4.1 Categories of AI Tools for Disease Diagnosis 35520.1.4.2 Software Developed for Disease Diagnosis 35620.1.4.3 Making Smartphone as Powerful Diagnostic Tools 35720.1.5 Robotic AI 35720.2 The Future of Artificial Intelligence in Healthcare 358References 35921 Banks to Lead Digital Transformation With Artificial Intelligence 361Lavika Jaroli, Sachin Gupta and Parul Dashora21.1 Artificial Intelligence 36221.1.1 Human Versus Artificial Intelligence 36321.1.2 Difference Between AI, NLP, NN, ML, or DL 36321.1.3 Types of Artificial Intelligence 36521.1.4 Innovations in Indian Banking Through IT 36621.1.5 A Short History of Artificial Intelligence 36621.2 Artificial Intelligence History Timeline 36721.2.1 Objectives 36721.2.2 Scope 36721.2.3 Methodology 36921.3 Why Artificial Intelligence in Banks 36921.4 Goal of Artificial Intelligence 37021.4.1 Innovations in Indian Banking Through IT 37021.4.2 Innovation in Indian Banking Sectors 37021.5 Artificial Intelligences Using by Different Banks 37221.6 Implementation of Artificial Intelligence in Banking 37521.7 Path Ahead Chatbots in Banking 37721.8 Advantage of Artificial Intelligence in Banking Sector 37921.9 Types of Risks and Threats Associated With Banking 38021.10 Nature of Risks in Wireless Banking 38021.11 Advent of Information Technology in Indian Banking Sector 38321.12 Future Scope of AI 38421.13 Conclusion 384References 38422 Effectiveness of E-HRM Tools Using the Functionalities of Artificial Intelligence During Remote Working in Lockdown Period 387Nidhi Saxena and Aditi R. Khandelwal22.1 Introduction 38822.1.1 Artificial Intelligence in Electronic HR Management 38922.1.1.1 Prospective Employee Engagement and Development 38922.1.1.2 Employee Training 39022.1.1.3 Candidate Selection for Recruitment 39022.1.1.4 Development Needs of Employees 39022.2 Literature Review 39022.3 Objective of the Study 39122.4 Research Methodology 39222.5 Impact and Efficiency of AI-Enabled EHRM Tools in Work From Home Scenario Under Lockdown 39222.6 Conclusion 395Reading List 396Index 399

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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.