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

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.