Оглавление
Группа авторов. Impact of Artificial Intelligence on Organizational Transformation
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
Impact of Artificial Intelligence on Organizational Transformation
Foreword
Preface
1. Artificial Intelligence Disruption on the Brink of Revolutionizing HR and Marketing Functions
1.1 Introduction
1.2 Research Methodology
1.2.1 Research Objectives
1.2.2 Data Collection
1.3 Artificial Intelligence in HRM
1.3.1 Recruitment
1.3.2 Engaging the Applicants and Employees
1.3.3 Orientation and Onboarding
1.3.4 Performance Appraisal
1.3.5 Training
1.3.6 Compensation
1.3.7 Employee Retention
1.4 Artificial Intelligence in Marketing
1.4.1 Creation of Customer Profiles/Market Segmentation
1.4.2 Cognizance of Consumers Purchase Behavior/Intention
1.4.3 Pricing
1.4.4 Content/Product/Service Recommendations/Search Optimization
1.4.5 Sales Prediction Based on Consumer’s Demographics
1.4.6 Virtual Assistants/Real-Time Conversations
1.4.7 Visual Searching
1.4.8 CRM
1.5 Discussion and Findings
1.6 Implication for Managers
1.7 Conclusion
References
2. Ring Trading to Algo Trading—A Paradigm Shift Made Possible by Artificial Intelligence
2.1 Introduction
2.2 Ring Trading
2.3 Features of Generation 1: Ring Trading
2.4 Generation 2: Shifting to Online Platform
2.5 Generation 3: Algo Trading
2.6 Artificial Intelligence
2.7 AI Stock Trading
2.8 Algorithmic (Algo Trading) Trading
2.9 Conclusion
References
3. AI in HR a Fairy Tale of Combining People, Process, and Technology in Managing the Human Resource
3.1 Introduction
3.2 Problem Recognition
3.3 Journey of AI in HR “From Where Till What”
3.4 Work Methodology of AI in HR
3.5 Branches of AI in HR. 3.5.1 Machine Learning
3.5.1.1 Variance Detection
3.5.1.2 Background Verification
3.5.1.3 Employees Abrasion/Attrition
3.5.1.4 Personalized Content
3.5.2 Deep Learning
3.5.2.1 Important Use of Deep Learning in HR Context. 3.5.2.1.1 Recognition of Video and Image
3.5.2.1.2 Speech Recognition
3.5.3 Natural Language Processing
3.5.4 Recommendation Engines
3.6 Implication Stages of AI in HR
3.6.1 Automate
3.6.2 Augment
3.6.3 Amplify
3.7 Process Model of AI in HR
3.8 Key Roles of AI in HRM
3.9 Broad Area of Uses of AI in HR
3.9.1 Recruitment
3.9.2 Interviews
3.9.3 Reduction in the Human Biases
3.9.4 Retention
3.9.5 AI in Learning and Advancement
3.9.6 Diminish Gender Bias Equality
3.9.7 Candidate Engagement
3.9.8 Prediction
3.9.9 Smart People Analytics
3.9.10 Employee Experience
3.10 Dark Side of AI
3.10.1 Technical Requirements and Acceptance
3.10.2 Cost Involvement
3.10.3 Machine Biases
3.10.4 Job Losses
3.10.5 Emotional Turmoil
3.10.6 Fake Identity
3.10.7 Having an Audit Trail
3.10.8 Question on Decisions
3.11 Conclusion
References
4. Effect of Artificial Intelligence on Human Resource Profession: A Paradigm Shift
4.1 Introduction
4.2 Evolution of Artificial Intelligence
4.2.1 Phases of Artificial Intelligence
4.3 Changing Role of Human Resource Professionals
4.4 Effect of Artificial Intelligence on Human Resource Profession
4.4.1 Symbiotic Relationship Between Artificial Intelligence and Human Resource Profession
4.5 Limitations of Artificial Intelligence in HRM
4.6 Conclusion
References
5. Artificial Intelligence in Animal Surveillance and Conservation
5.1 History
5.2 Introduction
5.3 Need of Artificial Intelligence
5.4 Applications of AI in Animal Surveillance and Conservation
5.4.1 In Livestock Monitoring
5.4.1.1 Chip and Sensor (RFID)
5.4.1.2 Microchip (GPS Tracker)
5.4.1.3 Mobile Application
5.4.1.4 Drone With Thermal Camera
5.4.2 In Wildlife Animal Monitoring
5.4.2.1 Motion Sensor Camera
5.4.2.2 GPS Base Animal Tracker
5.4.2.3 Smart Camera (Thermal Camera)
5.4.2.4 Satellite Base Tag (Ringing, Callers)
5.4.2.5 Acoustics/Sound Monitoring
5.4.2.6 Radio Transmitter (Transponder)
5.5 Some Other Tools of Artificial Intelligence. 5.5.1 Computer Software and Application. 5.5.1.1 Wildbook Comb (Bot)
5.5.1.2 Betty
5.5.1.3 Sensing Clues
5.5.2 Resolve’s Trail Guard
References
6. Impact of Artificial Intelligence on Digital Marketing
6.1 Introduction
6.2 The Impact That AI Has on Marketing
6.2.1 The Data of Artificial Intelligence in Marketing
6.2.1.1 The Audience: Highly Targeted Marketing Segmentation
6.2.1.2 Journey to: The Customer’s Road
6.2.1.3 Offer to: Advice-Based Behavioral Marketing
6.2.2 Number of Efficiency Powered by the AI Global Consumer Statistics
6.2.3 Cloud Computing: How it Interfaces to Marketing Thanks to Big Data
6.2.4 AI World is Made Also With BOT. Exactly What Are BOT?
6.2.5 The Chatbot: Service Robot as Support of Customer Care
6.3 The Community Regulation “GDPE” and Artificial Intelligence: Here’s How Technology is Governed
6.4 The Case Study Estée Lauder
6.5 Conclusion
References
7. Role of Artificial Intelligence in Transforming the Face of Banking Organizations
7.1 Objectives
7.2 Introduction
7.2.1 Three Stages of Artificial Intelligence
7.2.2 Different Types of Artificial Intelligence
7.2.3 Trends and Need of Artificial Intelligence in Context of Indian Banking
7.2.4 Uses and Role of Artificial Intelligence in Banks in the Opinion of [20, 25 26 & 31]
7.2.5 Importance of Artificial Intelligence in Banking Practices and Operation
7.2.5.1 Chat Bots
7.2.5.2 Analytics
7.2.5.3 Robotics Process Automation
7.2.5.4 Generating Reports
7.2.6 Impact of AI in Banking Operations
7.2.6.1 Front Office Operations/Customer Centric
7.2.6.2 Middle Office/Operation Centric
7.2.6.3 Back Office/Decision Centric
7.2.7 Future of Artificial Intelligence in Banks
7.3 Existing Technology
7.4 Methodology
7.4.1 Search Process
7.4.2 Selection Criteria and Review Process
7.5 Findings
7.6 Conclusion
7.7 Suggestions
References
8. Artificial Intelligence and Energy Sector
8.1 Introduction
8.1.1 Increase in the Emission of Greenhouse Gases
8.1.2 Increase in the Financial Burden
8.1.3 Huge Power Deficit
8.1.4 Water Scarcity
8.2 Challenges of Indian Power Sector
8.2.1 Global Warming
8.2.2 Depletion of Coal
8.2.3 Huge Financial Stress
8.2.4 Power Crisis
8.2.5 Health Issues
8.2.6 Plant Load Factor
8.2.7 Transmission and Distribution (T&D) Losses
8.3 Artificial Intelligence for Energy Solutions
References
9. Impact of Artificial Intelligence on Development and Growth of Entrepreneurship
9.1 Introduction
9.2 Entrepreneurship
9.3 Artificial Intelligence
9.4 Artificial Intelligence and Entrepreneurship
9.5 Process of Entrepreneurship
9.5.1 Entrepreneurial Recognition
9.5.2 Human Capital
9.5.3 Technology Requirements and Idea Generation
9.5.4 Opportunity Recognition Phase
9.5.5 Opportunity Development
9.5.6 Resource Requirements
9.5.7 Entrepreneurship
9.5.8 Financial Resources
9.5.9 Opportunity Exploitation
9.5.10 Knowledge Networks
9.5.11 Validation of the Product
9.6 The Need of Artificial Intelligence for Business Development
9.6.1 Consumer Satisfaction
9.6.2 Cybercrime Protection
9.6.3 CRMs
9.6.4 AI-Based Analytics
9.6.5 Demand and Supply Management
9.6.6 Improved Maintenance and Better Equipment Safety
9.6.7 Searching Capable Employees
9.6.8 Virtual Assistance for Sales
9.6.9 Improvements With Self-Driven Technologies
9.7 Some Important Facts About AI
9.8 Opportunities for Artificial Intelligence in Business
9.8.1 AI in the Field of Marketing
9.8.2 For Track Competitors
9.8.3 Make Less Work of Huge Data
9.8.4 AI as Customer Support System
9.8.5 Artificial Intelligence in CRMs
9.9 Further Research Possibilities
9.10 Conclusion
References
10. An Exploratory Study on Role of Artificial Intelligence in Overcoming Biases to Promote Diversity and Inclusion Practices
10.1 Introduction
10.1.1 Objectives of the Study
10.1.2 Background of the Study
10.1.3 Relevance and Scope of the Study
10.2 Research Gaps Identified
10.3 Experiential Work
10.3.1 Hypothetical Research Model
10.3.2 Methodology
10.3.3 Search Process
10.3.4 Selection Criteria and Review Process
10.3.5 Systematic Representation of Literature Review
10.3.6 Understanding Workforce Diversity
10.3.7 Benefits and Challenges of Workforce Diversity
10.3.8 Biases as Obstacles in Diversity and Inclusion Practices
10.3.9 AI as a Tool to Prevent Bias and Promote D&I Practices
10.4 Synthesis of the Study
10.5 Managerial Implications and Conclusion
References
11. Artificial Intelligence: Revolutionizing India Byte by Byte
11.1 Introduction
11.2 Objectives of the Chapter
11.3 AI for India’s Transformation
11.4 Economic Impact of Artificial Intelligence
11.5 Artificial Intelligence and its Impact on Various Sectors
11.5.1 AI in Healthcare
11.5.2 AI in Banking and Finance
11.5.3 Artificial Intelligence in Education
11.5.4 Artificial Intelligence in Agriculture Sector
11.5.5 Artificial Intelligence in Smart Cities and Infrastructure
11.5.6 AI in Smart Mobility and Transportation
11.6 SWOT Analysis of Artificial Intelligence
11.6.1 Strength
11.6.2 Weakness
11.6.3 Opportunity
11.6.4 Threat
11.7 Conclusion
References
12. AI: A New Strategic Method for Marketing and Sales Platforms
12.1 Introduction
12.2 Objectives of the Chapter
12.3 Importance of Artificial Intelligence
12.4 Research Methodology
12.5 AI: The Ultimate B2B Growth Accelerator
12.5.1 AI Can Help Get Better Leads
12.5.2 Predictive Analysis Improves Pitches
12.5.3 Better Upsell Opportunities
12.5.4 AI is an Excessive Digital Assistant
12.5.5 AI and Improved Customer Conversations
12.6 The Existing Methods of Marketing and Sales
12.6.1 Being Lazy About Self-Promotion
12.6.2 Avoiding Networking
12.6.3 Bridging the New Product Launch Gap
12.7 AI Will Shape Marketing Strategies of Startup in the Future
12.7.1 Winning the Loots of Artificial Intelligence
12.7.2 The Control of Artificial Intelligence and Recorded Data
12.7.3 Artificial Intelligence the Game Changer for Small Businesses
12.7.4 AI Selling and Marketing for E-Commerce
12.7.5 Marketing Computerization to Modified Knowledge
12.8 Artificial Intelligence is Shaking up the Job Market
12.9 The Role of Artificial Intelligence and Machine Learning on Marketing
12.9.1 Traditional and Modern Marketing
12.10 Conclusion
References
Website
13. Brain and Behavior: Blending of Human and Artificial Minds Toward Stress Recognition and Intervention in Organizational Well-Being
13.1 Introduction
13.2 Research Methodology
13.3 Fundamentals of Stress
13.3.1 Stress at Workplace
13.3.2 Symptoms and Outcome of Stress
13.4 Embracing AI Opportunity in Stress Management Interventions
13.5 Existing Technology for Stress Recognition
13.5.1 Smart Detection Devices
13.5.2 Stress Detection Through Physiological Signals
13.5.3 Sensor-Based Detection
13.5.4 Deep Learning Approaches for Stress Detection
13.5.5 Stress Detection Through Biofeedback Systems
13.5.6 Stress Detection Through Virtual Reality
13.5.7 Stress Detection Through Keyboard Strokes
13.5.7.1 Chatbots for Depression, Stress, and Anxiety
13.5.7.2 WYSA Chatbot
13.5.8 Stress Intervention Based on Human-Technology Interaction
13.5.8.1 Individual Level of Intervention
13.5.8.2 Organization Level Intervention
13.5.8.3 Devices Supporting Stress Interventions
13.6 Discussion and Findings
13.7 An AI—Eye to the Future
13.7.1 Implications to Managers
13.7.2 Implication to the Entrepreneurs
13.8 Conclusion
13.9 Limitations of AI in Human Resource Management
13.10 Conclusion
References
14. Alternative Financing
14.1 Introduction
14.1.1 Sources of Funds for Individuals
14.1.2 Sources of Funds for Organizations
14.2 Alternative Financing
14.2.1 Features of Alternative Financing
14.3 Models of Alternative Financing
14.3.1 Peer-to-Peer Lending
14.3.1.1 Peer-to-Peer Lending Types. 14.3.1.1.1 Peer-to-Peer Individual Lending
14.3.1.1.2 Peer-to-Peer Business Lending
14.3.1.1.3 Peer-to-Peer Property Lending
14.3.1.1.4 Balance Sheet Business Lending
14.3.2 Crowdfunding
14.3.2.1 Equity-Based Crowdfunding
14.3.2.2 Profit Sharing Crowdfunding
14.3.2.3 Reward-Based Crowdfunding
14.3.2.4 Donation-Based Crowdfunding
14.4 Scope of Alternative Financing in India
14.5 Alternative Finance as a Tool of Financial Inclusion
14.6 Regulation of Alternative Finance
References
Further Web Links
Dissertation
15. Application of Machine Learning in Open Government Database
15.1 Introduction
15.2 Literature Review
15.3 Overview of Open Government Data
15.4 Open Government Data in India
15.5 How to Create Value from Data
15.6 Artificial Intelligence
15.7 Why AI is Important?
15.8 Machine Learning
15.9 Concerns About Machine Learning on Government Database
15.10 Conclusion
References
16. Artificial Intelligence: An Asset for the Financial Sector
16.1 Introduction
16.1.1 Phase I 1950–1983 Origin of AI and the First Hype Cycle
16.1.2 II Phase 1983–2010 Reawakening of Artificial Intelligence
16.1.3 III Phase 2011–2017 AI Domains Competing Humans
16.1.4 The Present and the Future Phase (2018–2035)
16.2 Types, Technology, and Application of AI. 16.2.1 Types of Artificial Intelligence
16.2.2 Artificial Intelligence Technologies
16.2.3 Applications of Artificial Intelligence
16.3 Artificial Intelligence and Financial Services
16.3.1 Artificial Intelligence and Insurance
16.3.2 Artificial Intelligence and Stock Market
16.3.2.1 From the History of Stock Exchange to the Development of Algo Trading in India
16.3.2.2 What is Algorithmic Trading?
16.3.2.3 Benefits of Algo Trading
16.3.2.4 Algorithmic Trading Platforms
16.3.2.5 Algo Trading Strategies
16.3.2.6 Impact of Artificial Intelligence on Stock Market
16.3.3 Artificial Intelligence and Mutual Funds
16.3.3.1 Mutual Funds Use AI in the Following Ways
16.3.3.2 Quantitative Fund’s Investment Process
16.3.3.3 Quantitative Fund—Choosing Stocks Strategy
16.3.3.4 The Other Way Around
16.4 Conclusion
16.5 Glossary
References
Bibliography
17. Artificial Intelligence With Special Reference to Blockchain Technology: A Future of Accounting
17.1 Introduction. 17.1.1 Artificial Intelligence and Accounting
17.1.2 Blockchain in Finance and Accounting
17.2 Objectives
17.3 Literature Review. 17.3.1 Janling Shi
17.3.2 Nordgren et al
17.3.3 Kiwilinski
17.3.4 Ahmed Farah
17.3.5 Odoh Longinus Chukwudi
17.3.6 Potekhina and Rumkin
17.4 Research Methodology
17.5 Usage of Artificial Intelligence in Accounting
17.6 Usage of Blockchain in Accounting
17.6.1 Bitcoin
17.6.2 Interbank Transactions
17.6.3 Property Registry
17.7 Impact of AI on the Field of HRM
17.8 Challenges in Execution
17.9 Conclusion
References
18. AI-Implanted E-Learning 4.0: A New Paradigm in Higher Education
18.1 Introduction
18.2 Research Methodology. 18.2.1 Objective
18.2.2 Research Approach
18.2.3 Types and Sources of Data
18.3 Progression of Web and E-Learning. 18.3.1 Some Relevant Definitions Distance Education
18.3.2 E-Learning
18.3.3 E-Learning 1.0–4.0. 18.3.3.1 Web 1.0 E-Learning 1.0 (Link to Anything): 1997 to 2003
18.3.3.2 Web 2.0 E-Learning 2.0 (User Involvement): 2004 to 2006
18.3.3.3 Web 3.0 E-Learning 3.0 (Existing Data Reconnected): 2007 to 2011
18.3.3.4 Web 4.0 (Read/Write/Execute/Concurrency From 2012)
18.3.3.4.1 Characteristics of Web 4.0:
18.4 Artificial Intelligence in Learning
18.4.1 What is Artificial Intelligence?
18.4.2 AI En Routed the Learning. 18.4.2.1 Smart Learning Content
18.4.2.2 Intelligent Tutoring Systems
18.4.2.3 Virtual Facilitators and Learning Environments
18.4.2.4 Content Analytics
18.4.2.5 Paving New Learning Pathways in the Coming Decade
18.5 Impact of Artificial Intelligence in Education (AIEd) 18.5.1 Will AI Take Over From Humans?
18.5.2 AI-Implanted E-Learning
18.5.2.1 Avatars
18.5.2.2 Hyper-Reality
18.5.2.3 The Hyper Class in Virtual Universities
18.5.2.4 JITAITs
18.5.3 Recommendations to Help Unleash Intelligence
18.5.3.1 Pedagogy
18.5.3.1.1 Recommendations
18.5.3.2 Technology
18.5.3.2.1 Recommendations
18.5.3.3 System Change
18.5.3.3.1 Recommendations
18.6 Conclusion
Concise Summary
References
19. Artificial Intelligence in Banking Industry
19.1 Introduction
19.2 Banking on Artificial Intelligence
19.3 Role of Artificial Intelligence in Shaping Indian Banking Industry. 19.3.1 Detection of Anti-Money Laundering Pattern
19.3.2 Chatbots
19.3.3 Algorithmic Trading
19.3.4 Fraud Detection
19.3.5 Customer Suggestions
19.3.6 Personalized Banking
19.3.7 Digital Payments
19.3.8 Robo Advisors
19.4 Influence of Artificial Intelligence on Indian Banking Industry
19.5 Reasons Behind Elongated Adoption of Artificial Intelligence in Banking Industry
19.5.1 Cut-Throat Competition in Banking Sector
19.5.2 Push for Process-Driven Services
19.5.3 Introduction of Self-Service at Banks
19.5.4 Customer Demand for More Customized Solutions
19.5.5 Creating Operational Efficiencies
19.5.6 Increasing Employee Productivity
19.5.7 To Help Focus on Profitability and Compliance
19.5.8 Use of Robotics Software
19.5.9 To Reduce Fraud and Risk Associated With Security
19.5.10 To Manage Large Information and Derive Value Insight
19.5.11 To Bring in Effective Decision-Making
19.6 Indian Banks Using Artificial Intelligence
19.6.1 State Bank of India
19.6.2 Bank of Baroda
19.6.3 Allahabad Bank
19.6.4 Andhra Bank
19.6.5 YES Bank
19.6.6 Housing Development Finance Corporation (HDFC)
19.6.7 Industrial Credit and Investment Corporation of India (ICICI)
19.6.8 Axis Bank
19.6.9 Canara Bank
19.6.10 Punjab National Bank
19.6.11 IndusInd Bank
19.6.12 City Union Bank
19.7 Pros and Cons of Artificial Intelligence in Banking Sector. 19.7.1 Pros. 19.7.1.1 Tracking of Transactional and Other Data Sources
19.7.1.2 Identification of Pattern Which May Be Eluded by Human Observers
19.7.1.3 Risk Assessment
19.7.1.4 Secure and Swift Transaction
19.7.1.5 Protection of Personal Data
19.7.1.6 Hedge Fund Trading and Management
19.7.1.7 Quick Transaction
19.7.1.8 Reduce Cost and Time
19.7.1.9 Upgraded Personnel Effectiveness and Customer Observation
19.7.1.10 Enhanced Banking Services
19.7.2 Cons
19.7.2.1 High Cost
19.7.2.2 Bad Calls
19.7.2.3 Distribution of Power
19.7.2.4 Unemployment
19.8 Intelligent Mobile Applications Drive Growth in Banking
19.8.1 Investment
19.8.2 Accounting
19.8.3 Banking Apps
19.8.4 Digital Wallet Apps
19.9 Conclusion
References
20. The Potential of Artificial Intelligence in Public Healthcare Industry
20.1 Introduction
20.1.1 Drug Discovery
20.1.1.1 The Main Stages of Drug Discovery Might Take Several Years in Completion
20.1.1.2 Companies or Startups Used AI Techniquesfor Drug Discovery
20.1.2 Medical Imaging
20.1.2.1 Areas of Medical Imaging
20.1.2.2 Some Applications for AI in Medical Imaging Are at Present Applied in General Healthcare
20.1.3 Disease Prevention
20.1.3.1 Areas of Disease Prevention, Supported by AI System
20.1.3.2 Some Recent Software Used for Disease Prevention
20.1.4 Medical Diagnosis
20.1.4.1 Categories of AI Tools for Disease Diagnosis
20.1.4.2 Software Developed for Disease Diagnosis
20.1.4.3 Making Smartphone as Powerful Diagnostic Tools
20.1.5 Robotic AI
20.2 The Future of Artificial Intelligence in Healthcare
References
21. Banks to Lead Digital Transformation With Artificial Intelligence
21.1 Artificial Intelligence
21.1.1 Human Versus Artificial Intelligence
21.1.2 Difference Between AI, NLP, NN, ML, or DL
21.1.3 Types of Artificial Intelligence
21.1.4 Innovations in Indian Banking Through IT
21.1.5 A Short History of Artificial Intelligence
21.2 Artificial Intelligence History Timeline. 21.2.1 Objectives
21.2.2 Scope
21.2.3 Methodology
21.3 Why Artificial Intelligence in Banks
21.4 Goal of Artificial Intelligence
21.4.1 Innovations in Indian Banking Through IT
21.4.2 Innovation in Indian Banking Sectors
21.5 Artificial Intelligences Used by Different Banks
21.6 Implementation of Artificial Intelligence in Banking
21.7 Path Ahead Chatbots in Banking
21.8 Advantage of Artificial Intelligence in Banking Sector
21.9 Types of Risks and Threats Associated With Banking
21.10 Nature of Risks in Wireless Banking
21.11 Advent of Information Technology in Indian Banking Sector
21.12 Future Scope of AI
21.13 Conclusion
References
22. Effectiveness of E-HRM Tools Using the Functionalities of Artificial Intelligence During Remote Working in Lockdown Period
22.1 Introduction
22.1.1 Artificial Intelligence in Electronic HR Management
22.1.1.1 Prospective Employee Engagement and Development
22.1.1.2 Employee Training
22.1.1.3 Candidate Selection for Recruitment
22.1.1.4 Development Needs of Employees
22.2 Literature Review
22.3 Objective of the Study
22.4 Research Methodology
22.5 Impact and Efficiency of AI-Enabled EHRM Tools in Work From Home Scenario Under Lockdown
22.6 Conclusion
Reading List
Index
Also of Interest
WILEY END USER LICENSE AGREEMENT
