Enterprise AI Journey
In-depth analysis of how AI empowers thousands of industries
Introduction - - - - - - - - - - - - - - - -
In the long history of artificial intelligence development, how to let machines learn to create has always been regarded as an insurmountable barrier, and "creativity" is also regarded as one of the most essential differences between humans and machines. However, human creativity will eventually be given to machine creativity, sending the world into a new era of intelligent creation. The winning of AI paintings and the emergence of ChatGPT, a super chatbot, have undoubtedly kicked off the era of intelligent creation. From machine learning to intelligent creation, from PGC, UGC to AIGC, we are about to witness a profound productivity change, and this change will affect every aspect of our work and life. This book will combine vivid metaphors and interesting cases to popularize the commercial landing scenarios and industry application cases of AIGC to all practitioners, entrepreneurs, investors, and government departments concerned about the future of technology. Let's welcome the new era of intelligent creation together.
作者简介 · · · · · ·
Du Yu: PhD candidate of Technical Economics in University of Chinese Academy of Social Sciences, Master of Finance in Peking University, Master of Science in Chinese University of Hong Kong, Bachelor of Economics in Wuhan University. He is a Hurun U30 China Entrepreneurial Pioneer, and a young member of the G20 Young Entrepreneurs Alliance China Council. He has worked for Tencent and Sequoia Capital, focusing on digital economy and technology innovation. He was involved in the merger and listing of Tencent Music Entertainment Group, and also participated in the investment management of innovative enterprises, such as Tak-Thing, Super Orangutan, and Wenheyou. He is the founder of Weiming Venture Capital Association of Peking University and QAQ (Quadratic Acceleration Quantum). Author of "WEB3.0: Empowering the New Era of Digital Economy".
Zhang Ziming: Master of Management from Peking University, Master of Financial Engineering from National University of Singapore, Double Bachelor's Degree in Information Management and Information System from Central China Normal University and Computer Science and Technology from Huazhong University of Science and Technology. Mr. Zhang is a think tank expert of Metaverse Education Laboratory, and co-founder of QAQ, a gas pedal for unknowable cultural technology and technological entrepreneurship. Author of "WEB3.0: Empowering the New Era of Digital Economy".
Catalog - - - - - - - - - - - - - - - - - - - - - -
Chapter 1 AIGC: The Great Content Productivity Change
Section I. From PGC, UGC to AIGC
Section 2: The Four Modalities of Artificial Intelligence-Enabled Content Creation
Section III: AIGC Fuels the Metaverse and Web 3.0
Chapter 2: Technical Ideas of AIGC
Section I. Technology Foundations of the Pre-AIGC Era
Section 2: Early AIGC attempts: the GAN
Section 3: Enablers of AI painting: the Diffusion model
Section IV. Important Infrastructure for Large Models: Transformer
Chapter III. Functional application of AIGC
Section I. AIGC and Product Development
Section II AIGC and Marketing
Section III. AIGC and management collaboration
Chapter 4 Industry Applications of AIGC
Section I. AIGC Information Industry Applications
Section 2: Applications in the AIGC Film and Television Industry
Section 3: AIGC e-commerce industry applications
Section IV. AIGC Education Industry Applications
Section V. AIGC Financial Industry Applications
Section VI. AIGC Medical Industry Applications
Chapter 5: AIGC's Industrial Map
Section I. Upstream of the industry: data services
Section 2: Algorithmic modeling in the middle of the industry
Section III. Downstream of the industry: application expansion
Chapter 6 The Future of AIGC
Section I. Technology trends in AIGC
Section II. Participating Subjects in the AIGC Era
Section III Risks and Regulation of AIGC
Appendix I List of AIGC Industry Map Subject Companies (Partial)
Appendix II AIGC Terminology and Interpretation
Appendix III AIGC Milestones
postscript
Expert Recommendations
Section I. From PGC, UGC to AIGC
Section 2: The Four Modalities of Artificial Intelligence-Enabled Content Creation
Section III: AIGC Fuels the Metaverse and Web 3.0
Chapter 2: Technical Ideas of AIGC
Section I. Technology Foundations of the Pre-AIGC Era
Section 2: Early AIGC attempts: the GAN
Section 3: Enablers of AI painting: the Diffusion model
Section IV. Important Infrastructure for Large Models: Transformer
Chapter III. Functional application of AIGC
Section I. AIGC and Product Development
Section II AIGC and Marketing
Section III. AIGC and management collaboration
Chapter 4 Industry Applications of AIGC
Section I. AIGC Information Industry Applications
Section 2: Applications in the AIGC Film and Television Industry
Section 3: AIGC e-commerce industry applications
Section IV. AIGC Education Industry Applications
Section V. AIGC Financial Industry Applications
Section VI. AIGC Medical Industry Applications
Chapter 5: AIGC's Industrial Map
Section I. Upstream of the industry: data services
Section 2: Algorithmic modeling in the middle of the industry
Section III. Downstream of the industry: application expansion
Chapter 6 The Future of AIGC
Section I. Technology trends in AIGC
Section II. Participating Subjects in the AIGC Era
Section III Risks and Regulation of AIGC
Appendix I List of AIGC Industry Map Subject Companies (Partial)
Appendix II AIGC Terminology and Interpretation
Appendix III AIGC Milestones
postscript
Expert Recommendations
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