Overview of ChatGPT, Web3, and New Business Landscape
Ken Huang () and
Anita Xie
Additional contact information
Ken Huang: DistributedApps.ai
Anita Xie: Suzhou Black Cloud Technology Co., Ltd
Chapter Chapter 1 in Beyond AI, 2023, pp 3-36 from Springer
Abstract:
Abstract This chapter explores generative artificial intelligence (GenAI), its killer app ChatGPT, and the emerging Web3 paradigm. It elucidates how these technologies are revolutionizing the business landscape, driven by key players and facilitated by significant advancements in computational power and data availability. It discusses why GenAI is increasingly crucial in the current era of personalization and how it fits into the broader digital transformation. The chapter also navigates through the various applications and challenges of GenAI, painting a picture of its potential and the hurdles to overcome. It concludes with a futuristic outlook, underlining the significance of Web3 and the integration of GenAI within this new framework. This chapter serves as a way to understand the complex interplay of GenAI, ChatGPT, and Web3, and their collective impact on the future of business and technology.
Keywords: Generative artificial intelligence (GenAI); ChatGPT; Web3; Business transformation; Personalization; Key players in AI; Transformer architecture; Future trends in AI; Business landscape; Large Language Models (LLM) (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-45282-6_1
Ordering information: This item can be ordered from
http://www.springer.com/9783031452826
DOI: 10.1007/978-3-031-45282-6_1
Access Statistics for this chapter
More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().