Beyond AI : ChatGPT, Web3, and the business landscape of tomorrow / / Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing, editors

• Pubblicazione: Cham : , : Springer, , [2023]; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (xxvii, 395 pages) : illustrations
• Disciplina: 006.3
• Soggetto topico: Business enterprises - Technological innovations; Artificial intelligence
• Soggetto non controllato: BUSINESS & ECONOMICS / Information Management; BUSINESS & ECONOMICS / Business Ethics; BUSINESS & ECONOMICS / Management Science; COMPUTERS / Artificial Intelligence / General; COMPUTERS / Security / General; BUSINESS & ECONOMICS / Finance / Financial Engineering
• Persona (resp. second.): HuangKen (Executive); WangYang <1963->; ZhuFeng (College teacher); ChenXi; XingChunxiao
• Nota di contenuto: Intro -- Preface -- Acknowledgment -- Contents -- About the Editors -- PartPart10005725897 -- Chapter 1: Overview of ChatGPT, Web3, and New Business Landscape -- 1.1 Introduction to Generative AI and ChatGPT -- 1.1.1 Understanding Generative AI -- 1.1.2 The Journey of ChatGPT -- 1.1.3 The Transformative Power of ChatGPT -- 1.2 Generative AI: The New Paradigm -- 1.2.1 ChatGPT and the New Business Landscape -- 1.2.2 ChatGPT on Business Efficiency and Accuracy -- 1.3 Key Players in GenAI -- 1.3.1 Decoding the Success of Key Players in GenAI -- 1.3.2 GenAI: A Roster of the Influential Entities -- 1.4 Why Now? -- 1.4.1 The Rise of GPT and Transformer Architecture -- 1.4.2 The Rising Need for GenAI in the Age of Personalization -- 1.4.3 Data and Computational Power: Scaling GenAI -- 1.4.4 Other Reasons and Limitations -- 1.5 GenAI Horizontal Applications and Challenges -- 1.5.1 GenAI Horizontal Applications -- 1.5.2 Ongoing Challenges -- 1.6 The Future of GenAI and Integration with Web3 -- 1.6.1 The Future of GenAI -- 1.6.2 Web3 and the Need to Integrate Web3 with GenAI -- References -- Chapter 2: ChatGPT: Inside and Impact on Business Automation -- 2.1 Basics of Machine Learning and Neural Networks -- 2.1.1 What Is Machine Learning? -- 2.1.2 What Are Neural Networks? -- 2.1.3 Popular Neural Network Architectures -- 2.2 Overview of Generative AI Technology -- 2.3 Key ChatGPT Concepts -- 2.3.1 The Transformer -- 2.3.2 How Are Language Models Created? -- 2.3.3 Text to Image Generation Technology -- 2.4 Key Research Papers in GPT -- 2.5 ChatGPT and the Future of Business Automation -- 2.5.1 Business Automation Enabled by ChatGPT and its Extension -- 2.5.2 ChatGPT Plug-in Vs. Apple App Store -- 2.5.3 OpenAI ChatGPT Function Call Capability -- 2.5.4 From AIGC to AIGX -- 2.5.5 How CEOs Get Prepared for ChatGPT? -- References -- PartPart20005725898. ; Chapter 3: ChatGPT and Web3 Applications -- 3.1 Introduction to Web3 Applications and ChatGPT -- 3.1.1 The Emergence of Web3 and Decentralized Networks -- 3.1.2 Overview of ChatGPT´s Role in Web3 Applications -- 3.1.3 Overview of Web3 Ecosystem´s Role in ChatGPT -- 3.2 Innovative Use Cases of ChatGPT in Web3 Applications -- 3.2.1 Enhancing Decentralized Applications (dApps) with ChatGPT -- 3.2.2 ChatGPT in Decentralized Finance (DeFi) Platforms -- 3.2.3 Leveraging ChatGPT for NFT -- 3.2.4 Leveraging ChatGPT for DAO -- 3.2.5 Leveraging ChatGPT for Metaverse -- 3.3 Impact of ChatGPT on Decentralized Networks -- 3.3.1 The Potential for Improved User Experience -- 3.3.2 Scalability Concerns and Network Effects -- 3.3.3 Addressing Trust and Governance Issues -- 3.4 Innovative Use of Web3 in ChatGPT -- 3.4.1 A New Landscape for AI Data Governance -- 3.4.2 AI Model Validation in a Decentralized Environment -- 3.4.3 Democratizing Computation Power for AI -- 3.4.4 Decentralized AI Solution Marketplace -- 3.4.5 Incentivizing User Engagement and Content Generation -- 3.4.6 New Monetization Strategies and Business Models -- 3.5 Preparing for the Future of ChatGPT and Web3 -- 3.5.1 Anticipating Technological Advancements and Trends -- 3.5.2 Nurturing Interdisciplinary Collaboration -- 3.5.3 Building a Robust Integration Strategy -- References -- Chapter 4: ChatGPT in Product Management -- 4.1 ChatGPT for Product Ideation -- 4.1.1 Identifying Market Opportunities with ChatGPT -- 4.1.2 ChatGPT in Competitive Analysis and Benchmarking -- 4.1.3 Brainstorming and Idea Generation Using ChatGPT -- 4.2 ChatGPT for Product Design -- 4.2.1 Streamlining Design and Collaboration with ChatGPT -- 4.2.2 ChatGPT-Enhanced User Experience and Interface Design -- 4.3 ChatGPT in Agile Methodologies and Project Management -- 4.3.1 ChatGPT for Target Audience Analysis and Segmentation. ; 4.3.2 Social Media and Content Strategy with ChatGPT -- 4.4 ChatGPT in Product Launch and Go-to-Market Strategy -- 4.4.1 ChatGPT-Driven Launch Plan Development -- 4.4.2 Sales Enablement and Training with ChatGPT -- 4.4.3 Tracking and Analyzing Performance Using ChatGPT -- 4.5 ChatGPT for Customer Support and Success -- 4.5.1 Enhancing User Onboarding with ChatGPT -- 4.5.2 ChatGPT in Customer Retention and Churn Prediction -- 4.6 ChatGPT and Product Management Frameworks -- 4.6.1 The Jobs to Be Done (JTBD) Framework -- 4.6.2 RICE Prioritization Framework -- 4.6.3 AARRR Metrics, also known as Pirate Metrics -- 4.6.4 The MoSCoW Method -- 4.7 ChatGPT Integration with Web3 for Product Management -- 4.7.1 Decentralized Knowledge Sharing and Collaboration Using ChatGPT and Web3 -- 4.7.2 Decentralized Product Feedback and Review Systems -- 4.8 Future Directions and Challenges for ChatGPT in Product Management -- 4.8.1 Addressing ChatGPT Limitations in Product Management -- 4.8.2 Ethical Considerations and Responsible AI in Product Management -- 4.8.3 Measuring ROI and Impact of ChatGPT in Product Management -- 4.8.4 Anticipating Future Developments and Trends in ChatGPT and Product Management -- References -- Chapter 5: ChatGPT and Gig Economy -- 5.1 ChatGPT for Gig Economy Platforms -- 5.1.1 Enhancing Platform User Experience with ChatGPT -- 5.1.2 ChatGPT-Driven Recruitment and Onboarding -- 5.1.3 Streamlining Project Management and Collaboration Using ChatGPT -- 5.2 ChatGPT for Freelance Professionals -- 5.2.1 ChatGPT as a Virtual Assistant for Freelancers -- 5.2.2 Enhancing Productivity and Time Management with ChatGPT -- 5.2.3 ChatGPT for Networking and Community Building -- 5.3 ChatGPT in Gig Economy Skill Development -- 5.3.1 ChatGPT for Personalized Learning and Training -- 5.3.2 ChatGPT in Mentorship and Career Guidance. ; 5.3.3 Skill Assessment and Gap Analysis with ChatGPT -- 5.4 ChatGPT in Gig Economy Financial Management -- 5.4.1 ChatGPT for Financial Planning and Budgeting -- 5.4.2 Invoicing and Payment Management with ChatGPT -- 5.4.3 ChatGPT in Tax Planning and Compliance -- 5.5 ChatGPT for Legal and Contract Management in gig Economy -- 5.5.1 Leveraging ChatGPT for Contract Generation and Review -- 5.5.2 ChatGPT in Dispute Resolution and Mediation -- 5.5.3 Navigating Legal and Regulatory Compliance with ChatGPT -- 5.6 Integration with Web3 -- 5.6.1 Optimizing Job Matching and Discovery with ChatGPT and Web3 -- 5.6.2 Streamlining Contract Management and Payments with ChatGPT and Web3 -- 5.6.3 Enhancing Gig Worker Support and Skill Development with ChatGPT and Web3 -- 5.6.4 Promoting Transparency, Accountability, and Fairness with ChatGPT and Web3 -- 5.7 Future Directions and Challenges for ChatGPT in Gig Economy -- 5.7.1 Addressing ChatGPT Limitations in Gig Economy Applications -- 5.7.2 Ethical Considerations and Responsible AI in the Gig Economy -- 5.7.3 Anticipating Future Developments and Trends in ChatGPT and Gig Economy -- References -- Chapter 6: ChatGPT in Nutrition Science -- 6.1 GPT Use in Generating Personalized Nutrition Recommendations -- 6.1.1 Personalized Fitness Goals and Recommendations -- 6.1.2 Meal Planning -- 6.1.3 Tracking Eating Habits with ChatGPT -- 6.1.4 ChatGPT as an Accountability Partner -- 6.1.5 ChatGPT as a Guide in the World of Supplements -- 6.1.6 Cooking Advice by GPT -- 6.2 GPT in the Development of New Foods -- 6.2.1 Revolutionizing Research and Development with ChatGPT -- 6.2.2 ChatGPT and the Innovation of Plant-Based Alternatives -- 6.2.3 ChatGPT: A Compass in the Complex Regulatory Landscape of Food Science -- 6.2.4 ChatGPT as a Facilitator for Cross-Disciplinary Collaboration. ; 6.3 GPT Uses in Dietary Patterns and Health Outcomes -- 6.3.1 GPT Models and Dietary Patterns Analysis -- 6.3.2 Applications of GPT Technology in Nutrition Research -- 6.4 Nutrition Professional´s Use of GPT -- 6.4.1 Effective Communication -- 6.4.2 Staying Informed about the Latest Research -- 6.4.3 Creating Educational Material -- 6.4.4 Online Presence -- 6.5 ChatGPT: Nutrition Science Privacy Concerns -- 6.5.1 ChatGPT´s Privacy and Security in Nutrition Science -- 6.5.2 ChatGPT´s Ethical Considerations in Nutrition Science -- 6.5.3 ChatGPT´s Limitations in Nutrition Science -- 6.6 Integration with Web3 -- 6.6.1 ChatGPT-Web3: Tailoring Nutritional Advice -- 6.6.2 Boosting Nutrition Research with ChatGPT and Web3 -- 6.6.3 ChatGPT-Web3: Transforming Nutrition Communication -- 6.6.4 Food Traceability and Safety with ChatGPT and Web3 -- References -- Chapter 7: ChatGPT in Finance and Banking -- 7.1 Expanding Financial Services with ChatGPT -- 7.1.1 Streamlining Operational Processes of Financial Services -- 7.1.2 Enhancing Fraud Detection and Prevention -- 7.1.3 Personalizing Financial Products and Services -- 7.2 Transforming Customer Experience in Banking -- 7.2.1 Conversational Banking and Customer Support 24/7 -- 7.2.2 Conversational Banking and Financial Advice -- 7.2.3 Multilingual Support and Accessibility -- 7.3 Risk Assessment and Investment Portfolio Optimization -- 7.3.1 Credit Scoring and Risk Profiling -- 7.3.2 Portfolio Management and Asset Allocation -- 7.3.3 Predictive Analytics for Market Insights -- 7.4 Decentralized Finance (DeFi) and ChatGPT -- 7.4.1 Smart Contracts and Automated Transactions -- 7.4.2 Enhanced Security and Transparency -- 7.4.3 Financial Inclusion and Accessibility -- 7.4.4 Addressing Security and Privacy Concerns in DeFi -- 7.5 Security and Privacy Controls of ChatGPT Use in Finance and Banking. ; 7.5.1 Data Protection and Privacy Compliance -- 7.5.2 Mitigating Adversarial Attacks -- 7.5.3 Continuous Monitoring and Audits -- 7.6 The Future of AI in Finance and Banking -- 7.6.1 Emerging Technologies and Innovations -- 7.6.2 Ethical Considerations and Responsible AI -- 7.6.3. -- Upskilling and Workforce Adaptation -- 7.6.4 GenAI Adoption Maturity Framework for Financial Institutions -- Chapter 8. Chat GPT in Real Estate -- 8.1 AI in Today's Real Estate -- 8.2 Applications of ChatGPT and Generative AI in Real Estate -- 8.3 Challenges of ChatGPT and Generative AI in Real Estate -- 8.4 Real Estate Reimagined: ChatGPT and Web3 Synergy -- References -- Chapter 9. ChatGPT in Gaming Industry -- 9.1 Introduction to ChatGPT in Gaming -- 9.2 Integration of ChatGPT into Games -- 9.3 Applications of ChatGPT in Gaming -- 9.4 Challenges and Limitations -- 9.5 Future Trends and Opportunities -- 9.6 ChatGPT + Web3 in Gaming Industry -- References -- Chapter 10. ChatGPT in Government -- 10.1 ChatGPT for Citizen Engagement -- 10.2 ChatGPT for Public Administration Efficiency -- 10.3 Chat GPT in Policy Development and Analysis -- 10.4 ChatGPT for Government Collaboration and Innovation -- 10.5 Ethical Considerations and Challenges of ChatGPT in Government -- 10.6 ChatGPT and Web3 for Government Services. Part III: Ethical, Legal, and Security Considerations in Chat GPT -- Chapter 11. Security and Privacy concerns in ChatGPT -- 11.1 Overview -- 11.2 Security Risks in ChatGPT -- 11.3 Privacy Concerns in ChatGPT -- 11.4 User Perspectives on Security and Privacy -- 11.5 Addressing Security and Privacy Concerns -- References. ; Chapter 12: Legal and Ethics Responsibility of ChatGPT -- 12.1 Introduction to Legal and Ethical Concerns in ChatGPT -- 12.2 Intellectual Property Rights and ChatGPT -- 12.3 Liability and Accountability and ChatGPT -- 12.4 Ethical Considerations in ChatGPT Deployment -- 12.5 Compliance with Privacy and Data Protection Regulations -- 12.6 AI Regulations in Some Countries -- 12.7 Recommendations and Best Practices for Legal and Ethical ChatGPT Use -- References -- Appendix A: ChatGPT FAQ -- Glossary
• Sommario/riassunto: "This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications."--
• Altri titoli varianti: ChatGPT, Web3, and the business landscape of tomorrow
• Titolo autorizzato: Beyond AI
• ISBN: 3-031-45282-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910799238403321
• Lo trovi qui: Univ. Federico II
• Serie: Future of business and finance