Overview

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.  

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9783031452819

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Ken Huang is the CEO of DistributedApps.ai, a company advancing Generative AI through training and consulting. He is also the VP of Research and Chair of the Blockchain Security Working Group for CSA GCR. Ken has authored multiple books on blockchain and Web3 and has over 20 years of experience specializing in application security, identity and access management, and cloud security for fintech and government agencies. As CEO of DistributedApps.ai, Ken provides cybersecurity consulting for blockchain and AI startups globally. Ken is an invited speaker at conferences hosted by organizations such as Davos WEF and CoinDesk Consensus. Ken coauthored the book “Blockchain and Web3” recognized as a must-read in 2023. Ken is a core contributor of recent OWASP Top 10 for Large Language Model Applications. Professor Yang Wang is Vice-President for Institutional Advancement at Hong Kong University of Science and Technology (HKUST) and Chair Professor in the Department of Industrial Engineering and Decision Analytics and the Department of Mathematics. He also serves as Director of HKUST, The Big Data for Bio Intelligence Laboratory, and has numerous publications ranging from machine learning to cryptography. Recently, he serves as the Chief Scientific Advisor of the Institute of WEB3 Hong Kong, the leading organization representing Web3 in the region. Professor Feng Zhu is the MBA Class of 1958 Professor of Business Administration at Harvard Business School (USA) and is an expert on platform strategy, digital transformation, and innovation. He co-directs the Business Models and Platform Lab at the Digital, Data, and Design Institute at Harvard. He has obtained various awards including the Inaugural ISS Practical Impacts Award from the Institute for Operations Research and the Management Sciences Information Systems Society (INFORMS ISS) in 2020.  Dr. Xi Chen is a tenured professor and Andre Meyer Faculty Fellow at the Stern School of Business at New York University (USA). He obtained his PhD from the Machine Learning Department at Carnegie Mellon University. He works in both areas of artificial intelligence with e-commerce applications, and web 3, including tokenomics and decentralized finance. Dr. Chen was elected to Forbes 30 under 30 in Science and was recognized as The World’s Best 40 Under 40 MBA Professor by Poets & Quants. Dr. Chen has collaborated closely with Google, Meta, Adobe, JP Morgan, and Bloomberg (among many others) and won outstanding faculty research awards from all these companies.  Professor Chunxiao Xing is the Vice Dean of Information Technology Institute and Director of the WEB and Software Technology Research Center of Tsinghua University (China). He is also Vice President of the Information System Committee of the China Computer Federation.

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