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Beyond Algorithms: A Comprehensive Analysis of AI-Driven Personalization in Strategic Communications
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作者 Natalie Nkembuh 《Journal of Computer and Communications》 2024年第10期112-131,共20页
This comprehensive study investigates the multifaceted impact of AI-powered personalization on strategic communications, delving deeply into its opportunities, challenges, and future directions. Employing a rigorous m... This comprehensive study investigates the multifaceted impact of AI-powered personalization on strategic communications, delving deeply into its opportunities, challenges, and future directions. Employing a rigorous mixed-methods approach, we conduct an in-depth analysis of the effects of AI-driven personalization on audience engagement, brand perception, and conversion rates across various industries and communication channels. Our findings reveal that while AI-powered personalization significantly enhances communication effectiveness and offers unprecedented opportunities for audience connection, it also raises critical ethical considerations and implementation challenges. The study contributes substantially to the growing body of literature on AI in communications, offering both theoretical insights and practical guidelines for professionals navigating this rapidly evolving landscape. Furthermore, we propose a novel framework for ethical AI implementation in strategic communications and outline a robust agenda for future research in this dynamic field. 展开更多
关键词 Artificial Intelligence (AI) Strategic Communications PERSONALIZATION Machine Learning Natural Language Processing (NLP) Customer Engagement Data Analytics Digital marketing Audience Segmentation Communication Effectiveness AI Ethics Conversion Optimization Predictive Analytics Content Personalization marketing automation
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Automated market makers and decentralized exchanges:a DeFi primer 被引量:2
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作者 Vijay Mohan 《Financial Innovation》 2022年第1期553-600,共48页
Recent advancements in decentralized finance(DeFi)have resulted in a rapid increase in the use of Automated Market Makers(AMMs)for creating decentralized exchanges(DEXs).In this paper,we organize these developments by... Recent advancements in decentralized finance(DeFi)have resulted in a rapid increase in the use of Automated Market Makers(AMMs)for creating decentralized exchanges(DEXs).In this paper,we organize these developments by treating an AMM as a neoclassical black-box characterized by the conversion of inputs(tokens)to outputs(prices).The conversion is governed by the technology of the AMM summarized by an‘exchange function’.Various types of AMMs are examined,including:Constant Product Market Makers;Constant Mean Market Makers;Constant Sum Market Makers;Hybrid Function Market Makers;and,Dynamic Automated Market Makers.The paper also looks at the impact of introducing concentrated liquidity in an AMM.Overall,the framework presented here provides an intuitive geometric representation of how an AMM operates,and a clear delineation of the similarities and differences across the various types of AMMs. 展开更多
关键词 Decentralized finance(DeFi) Automated market maker(AMM) Decentralized exchange(DEX) Smart contract Ethereum
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