Recommender systems have become indispensable tools in the hotel hospitality industry, enabling personalized and tailored experiences for guests. Recent advancements in large language models (LLMs), such as ChatGPT, and persuasive technologies, have opened new avenues for enhancing the effectiveness of those systems. This paper explores the potential of integrating ChatGPT and persuasive technologies for automating and improving hotel hospitality recommender systems. First, we delve into the capabilities of ChatGPT, which can understand and generate human-like text, enabling more accurate and context-aware recommendations. We discuss the integration of ChatGPT into recommender systems, highlighting the ability to analyze user preferences, extract valuable insights from online reviews, and generate personalized recommendations based on guest profiles. Second, we investigate the role of persuasive technology in influencing user behavior and enhancing the persuasive impact of hotel recommendations. By incorporating persuasive techniques, such as social proof, scarcity and personalization, recommender systems can effectively influence user decision-making and encourage desired actions, such as booking a specific hotel or upgrading their room. To investigate the efficacy of ChatGPT and persuasive technologies, we present a pilot experi-ment with a case study involving a hotel recommender system. We aim to study the impact of integrating ChatGPT and persua-sive techniques on user engagement, satisfaction, and conversion rates. The preliminary results demonstrate the potential of these technologies in enhancing the overall guest experience and business performance. Overall, this paper contributes to the field of hotel hospitality by exploring the synergistic relationship between LLMs and persuasive technology in recommender systems, ultimately influencing guest satisfaction and hotel revenue.

In elementary school, I remember seeing a Scholastic visual of what the world would look like by 2010. While we still are working on flying cars, the artist illustrated artificial intelligence (AI) somewhere in that futuristic world. Many marketers today shy away from digging deeper into AI use cases because their brand is still working out how to use essential media and basic website tools effectively. I am here to tell you that it's simpler than it sounds and can significantly impact your brand's line, especially with social media use declining. If a client asked me whether to build new social media channels or integrate AI into their existing strategy, I would lean towards AI development.

If you go to this page on my blog, you'll find an introductory post about the use of artificial intelligence in generating written content, marketing messages, and personalized email. It won't win any Pulitzers, but it's easy enough to understand. What's remarkable about this post is that I didn't write it. Instead, it was created by LongShot, an AI-powered software-as-a-service application that generates written content – including long-form articles – entirely from a few keywords. Similar products include Jasper, Kafkai, Copysmith, Writesonic, and ContentBot.

JP Morgan is focusing on the development of marketing strategies using Artificial Intelligence (AI), for this prompt, it has signed an agreement with Persado a software company specialized in solutions for AI marketing for five years. After a successful pilot, Chase is expanding its partners across the company to cover marketing creative that will reach millions of current and potential customers. According to the data presented on Persado s website, in its pilot, through the use of AI Chase saw as high as a 450% lift in click-through rates on ads rendered by Persado, compared with others in the 50–200% range, becoming more effective marketing copy. In this way, JP Morgan Chase will start by applying Persado to direct-response emails and online display ads, and perhaps headlines on direct mail, but doesn't plan to use it for broader branding work Chase plans to scale its artificial intelligence efforts, widen the use of data-driven messages and create enterprise-wide omnichannel personalization in 2020. Machine learning is the path to more humanity in marketing.

New research from AI content generation and decisioning platform Persado, which aims to unlock the value of the right words at every customer interaction, provides insights on CMOs' perceptions of their company's readiness, and best practices for applying AI to an area of business that receives significant time, energy, and investment: the creative process. The firm's newly released report, 2021 State of AI and Creativity, surveyed more than 400 chief marketing officers and senior marketing leaders, and found a growing trend to leverage AI and machine learning in new ways to deliver more effective messages to prospects and customers. Key findings of the survey from U.S. respondents include: "Marketers have been leveraging technology to gain insights and improve performance across their portfolios for many years--applying AI to targeting and segmentation, marketing mix optimization, promotions and discounts, and dynamic pricing," said Amy Heidersbach, chief marketing officer of Persado, in a news release. "But how to optimize creative at scale has largely remained a blind spot for data-driven, digital-first companies. Now, it's clear that marketing leaders are turning their attention toward creative to unlock new sources of value--replacing human-only guesswork with human-plus-machine certainty."

Persado's 2021 State of AI and Creativity Survey highlights the growing importance of technology to generate and deliver more predictive, personalized creative that can be directly attributed to business outcomes NEW YORK–(BUSINESS WIRE)–#AI–Persado, the leading AI content generation and decisioning platform that unlocks the value of the right words at every customer interaction, today announced the results of a first-of-its kind survey: 2021 State of AI and Creativity. More than 400 chief marketing officers and senior marketing leaders were asked to provide input on their company's readiness, and on best practices for applying AI to an area of business that receives significant time, energy, and investment: the creative process. The survey found a growing trend among senior marketing leaders to leverage AI and machine learning in new ways to deliver more effective messages to prospects and customers. Key findings of the survey from U.S. respondents include: "Marketers have been leveraging technology to gain insights and improve performance across their portfolios for many years – applying AI to targeting and segmentation, marketing mix optimization, promotions and discounts, and dynamic pricing," says Amy Heidersbach, Chief Marketing Officer of Persado. "But how to optimize creative at scale has largely remained a blind spot for data-driven, digital-first companies. Now, it's clear that marketing leaders are turning their attention toward creative to unlock new sources of value – replacing human-only guesswork with human-plus-machine certainty."

A wind of innovation is blowing in the artificial intelligence sector. As artificial intelligence develops, its use cases diversify. Many companies are emerging and exploiting this technology in a relevant and innovative way. Artificial intelligence and machine learning are increasingly popular among companies in all industries. However, AI algorithms tend to overwork processors and GPUs.

As just about every aspect of computing is being transformed by machine learning and other forms of AI, companies can throw intense algorithms at existing CPUs and GPUs. Or they can embrace Graphcore's Intelligence Processing Unit, a next-generation processor designed for AI from the ground up. Capable of reducing the necessary number crunching for tasks such as algorithmic trading from hours to minutes, the Bristol, England, startup's IPUs are now shipping in Dell servers and as an on-demand Microsoft Azure cloud service. Read more about why Graphcore is one of the Most Innovative Companies of 2020. Ever tempted to click on the exciting discount offered to you in a marketing email?

As just about every aspect of computing is being transformed by machine learning and other forms of AI, companies can throw intense algorithms at existing CPUs and GPUs. Or they can embrace Graphcore's Intelligence Processing Unit, a next-generation processor designed for AI from the ground up. Capable of reducing the necessary number crunching for tasks such as algorithmic trading from hours to minutes, the Bristol, England, startup's IPUs are now shipping in Dell servers and as an on-demand Microsoft Azure cloud service. Read more about why Graphcore is one of the Most Innovative Companies of 2020. Ever tempted to click on the exciting discount offered to you in a marketing email?

According to recent research by IDC, the total global spending on Artificial Intelligence (AI) systems will touch US$98 billion by 2023. Nearly 61% of marketers also say that AI is the most important aspect of their data strategy. This impact can be felt directly in the marketing communication of brands, helping them understand their key consumers while tailoring their offerings and messaging accordingly. There is a new intelligence in people's midst; chatbots, recommendation engines, algorithms, language processing, etc., are just the tip of the iceberg. AI is helping brands create engaging stories and campaigns.