Call for Chapters: Integrating ChatGPT Into System Applications and Services

Editors

Muhammad Usman Tariq, Abu Dhabi University, Abu Dhabi, UAE. University College Cork, Ireland

Call for Chapters

Proposals Submission Deadline: October 27, 2024
Full Chapters Due: February 9, 2025
Submission Date: February 9, 2025

Introduction

This publication provides a detailed roadmap for integrating ChatGPT into a wide range of applications and services, covering everything from basic setup and API integration to advanced customizations and deployment strategies. Through practical examples, case studies, and step-by-step tutorials, the book aims to equip readers with the knowledge and skills needed to create intelligent, conversational AI-driven systems that enhance user experiences, improve efficiency, and drive innovation across industries.

Objective

This book will significantly impact the research community by serving as both a practical resource and a foundation for further exploration in the field of conversational AI. By offering in-depth technical guidance and real-world case studies, it bridges the gap between theoretical research and practical implementation. Researchers in AI, natural language processing (NLP), and human-computer interaction will find this book valuable for understanding how ChatGPT can be effectively integrated into various systems and services. The book's comprehensive approach to the technical challenges and solutions involved in deploying conversational AI will also inspire new research directions, such as optimizing model performance, improving user interaction, and addressing ethical considerations in AI-driven systems.

Target Audience

he primary audience for this book includes: Developers and Engineers: Technical professionals who are responsible for designing, building, and maintaining AI-driven applications. The book provides them with detailed technical insights, coding examples, and best practices for integrating ChatGPT into their projects. Business Leaders and Product Managers: Individuals who are exploring how to incorporate conversational AI into their products and services. The book offers strategic guidance on the potential benefits, challenges, and considerations involved in deploying ChatGPT within an organization. AI Researchers and Academics: Scholars and students in the fields of artificial intelligence, NLP, and computer science who are interested in the practical applications of conversational AI. The book’s case studies and real-world examples serve as valuable resources for academic research and teaching. Entrepreneurs and Startups: Innovators looking to leverage ChatGPT to create new products or services. The book provides inspiration and practical advice for building AI-driven solutions that can differentiate their offerings in the market. IT Professionals and System Administrators: Those involved in the deployment, maintenance, and scaling of AI-driven applications. The book includes technical details on infrastructure, scalability, and security considerations, making it a valuable resource for ensuring successful AI integration.

Recommended Topics

Section 1: Introduction to ChatGPT and Conversational AI 1.1 Understanding ChatGPT: An Overview of Conversational AI 1.2 The Evolution of Chatbots: From Rule-Based to GPT Models 1.3 How ChatGPT Works: The Science Behind the Model 1.4 Natural Language Processing: Foundations for Conversational AI 1.5 Key Concepts in AI and Machine Learning for ChatGPT 1.6 Exploring the Capabilities and Limitations of ChatGPT 1.7 Use Cases for ChatGPT: Opportunities Across Industries 1.8 The Ethical Implications of Conversational AI 1.9 Overview of Tools and Platforms for ChatGPT Integration 1.10 Preparing Your Organization for Conversational AI Section 2: Getting Started with ChatGPT Integration 2.1 Setting Up Your Environment: Tools and Prerequisites 2.2 Accessing ChatGPT: Understanding APIs and Platforms 2.3 Basic API Integration: Connecting ChatGPT to Your Application 2.4 Designing Conversational Flows for ChatGPT 2.5 Customizing ChatGPT Responses for Your Use Case 2.6 Managing and Handling User Inputs: Best Practices 2.7 Integrating ChatGPT with Existing Systems and Databases 2.8 Building a Simple Chatbot Using ChatGPT 2.9 Data Privacy and Security in ChatGPT Applications 2.10 Deploying Your First ChatGPT Application: A Step-by-Step Guide Section 3: Advanced Techniques for ChatGPT Development 3.1 Fine-Tuning ChatGPT for Specific Domains 3.2 Using Contextual Memory for Improved Conversations 3.3 Building Multi-Turn Conversations with ChatGPT 3.4 Handling Complex Queries with ChatGPT 3.5 Implementing Real-Time ChatGPT Interactions 3.6 Integrating ChatGPT with Voice Assistants and IoT Devices 3.7 Advanced NLP Techniques for Enhancing ChatGPT Performance 3.8 Custom Response Generation: Tailoring ChatGPT Outputs 3.9 Managing API Limits and Costs in ChatGPT Deployments 3.10 Optimizing ChatGPT for Performance and Speed Section 4: Deploying ChatGPT for Enterprise Solutions 4.1 Architecting Scalable ChatGPT Solutions for Enterprise 4.2 Integrating ChatGPT into CRM and ERP Systems 4.3 Enhancing Customer Support with ChatGPT 4.4 Automating Business Processes Using ChatGPT 4.5 Leveraging ChatGPT for Sales and Marketing Automation 4.6 ChatGPT in HR: Streamlining Recruitment and Employee Engagement 4.7 Building Enterprise-Grade Chatbots with ChatGPT 4.8 Deploying ChatGPT Across Multiple Channels 4.9 AI Governance: Managing ChatGPT in Corporate Environments 4.10 Case Study: Implementing ChatGPT in a Global Enterprise Section 5: Conversational AI Design Principles 5.1 Best Practices for Designing Conversational User Interfaces (CUIs) 5.2 Crafting Natural and Engaging Dialogues with ChatGPT 5.3 Incorporating User Feedback into ChatGPT Conversations 5.4 Designing for Accessibility in Conversational AI 5.5 Managing User Expectations in ChatGPT Interactions 5.6 Personalizing Conversations: Using User Data Ethically 5.7 A/B Testing and Iterative Design for ChatGPT Applications 5.8 Balancing Automation and Human Oversight in ChatGPT Systems 5.9 Ensuring Cultural Sensitivity in Global ChatGPT Deployments 5.10 Continuous Improvement: Updating and Refining ChatGPT Models Section 6: Engineering and Technical Considerations 6.1 Scaling ChatGPT: Infrastructure and Cloud Solutions 6.2 Building Redundant Systems for ChatGPT Reliability 6.3 Load Testing and Performance Tuning for High-Traffic Applications 6.4 Securing ChatGPT Deployments: Cybersecurity Best Practices 6.5 API Management: Monitoring and Controlling ChatGPT Usage 6.6 Integrating ChatGPT with Third-Party APIs and Services 6.7 Using Microservices Architecture for ChatGPT Integration 6.8 Building Custom Middleware for ChatGPT Applications 6.9 Real-Time Data Processing with ChatGPT and Streaming APIs 6.10 Deploying ChatGPT on Edge Devices: Challenges and Solutions Section 7: Industry-Specific Applications of ChatGPT 7.1 ChatGPT in Healthcare: Enhancing Patient Engagement 7.2 Financial Services: Automating Customer Interactions with ChatGPT 7.3 Retail and E-Commerce: Personalizing Shopping Experiences 7.4 Education and E-Learning: ChatGPT as a Virtual Tutor 7.5 Legal Sector: Streamlining Case Management and Client Queries 7.6 Travel and Hospitality: AI-Powered Customer Service with ChatGPT 7.7 Media and Entertainment: Creating Interactive Experiences with AI 7.8 Government and Public Services: ChatGPT for Citizen Engagement 7.9 Real Estate: AI-Driven Property Management and Client Relations 7.10 AI in Nonprofits: Leveraging ChatGPT for Social Impact

Submission Procedure

Researchers and practitioners are invited to submit on or before October 27, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by November 10, 2024 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by February 9, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Integrating ChatGPT Into System Applications and Services. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2026.



Important Dates

October 27, 2024: Proposal Submission Deadline
November 10, 2024: Notification of Acceptance
February 9, 2025: Full Chapter Submission
April 13, 2025: Review Results Returned
May 25, 2025: Final Acceptance Notification
June 8, 2025: Final Chapter Submission



Inquiries

Prof.Dr. Muhammad Usman Tariq Abu Dhabi University & University College Cork, Ireland usmankazi100@gmail.com

Classifications


Business and Management; Computer Science and Information Technology; Security and Forensics
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