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machine learning

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machine learning

Using PMS Data To Build ML Business Models

Adam and Larry Mogelonsky | October 23, 2024

By Adam and Larry Mogelonsky The property management system has traditionally been the hub for storing hotel guest information. In today’s age of customer data platforms and extract-transform-load processes, the PMS has become a goldmine for machine learning and artificial intelligence-driven strategies. The most prominent application of AI in this space is guest personalization. While this idea has long been at the forefront of AI discussions, it’s worth exploring further. AI enables a deeper level of personalization by democratizing the process, allowing hotels to tailor experiences based on specific guest profiles or situational cont...

Cloudbeds To Usher in the Era of ‘Decision Intelligence’ at Upcoming Passport Conference

Cloudbeds | September 4, 2024

San Diego, CA – Cloudbeds, the premier hospitality management platform, is set to usher in the era of ‘decision intelligence’ for the hospitality industry at its upcoming Passport User Conference on October 23, with the unveiling of Cloudbeds Intelligence. Cloudbeds Intelligence, a new AI and machine learning layer built into the platform, is designed to supercharge all functionalities of the hospitality management system and break down departmental silos, delivering unmatched decision-making intelligence for revenue managers, marketers, GMs, operations staff, and more.  The innovative platform layer implements causal AI using r...

AI 101: A Primer on How It Is Structured

HFTP | July 29, 2024

Artificial intelligence (AI) is a term that dominates conversations in many contexts. However, many people struggle to provide an explanation of what AI is and how it functions. The release of OpenAI's ChatGPT in 2022 has reignited the hype surrounding AI, but this excitement is not new. AI has been a topic of interest since 1956, when John McCarthy organized a conference in Dartmouth, New Hampshire, where scientists gathered to discuss and explore the possibilities of AI. The term "artificial intelligence" was first used at this event, which marked the beginning of a field that has continued to fascinate and develop ever since. How is AI de...

Attaining Data Maturation From Machine Learning of Hotel Data Sources

ADAM AND LARRY MOGELONSKY | June 19, 2024

By Adam and Larry Mogelonsky Hotels accumulate a lot of data, all of which can be used to uncover hidden patterns for better efficiencies and throughout improvements. Understanding the intricacies of machine learning (ML) and its applications is essential for forward-thinking hoteliers. A key concept to grasp is 'data maturation’, which refers to the necessary period for ML to process and analyze vast amounts of training data. This process allows computers to test variables and identify patterns, ultimately developing algorithms and models that drive business goals. Time is a critical factor in this equation. While machines can process da...

The Top 5 Advantages of AI-First Platforms Over Legacy System Upgrades

Andrew Rubinacci | May 2, 2024

By Andrew Rubinacci, Chief Advisory Officer of FLYR for Hospitality If I had a dollar for every time I heard artificial intelligence or “AI” mentioned over the last year, well, you know the rest of that saying. And much like when you repeat a word so many times, it starts to lose its meaning – the discussions surrounding the blistering proliferation of artificial intelligence technology have begun to lose some of their impact. Working within the realm of hospitality technology, I understand – rather intimately – the transformative effect of digital tools that leverage the power of AI and machine learning (ML).  But I am also ...

Fraud Detection in Hotel Transactions: A Machine Learning Framework

Shahinez Guetal | March 5, 2024

By Shahinez Guetal, Area Front Office Manager at Marriott International The hospitality sector is vulnerable to many fraudulent transactions, which can occur in different forms, from bogus bookings to stolen credit card details. These activities have an impact on revenue and erode customer confidence. Machine learning (ML) is useful for detecting this fraud in hotel transactions. The article explores the intricacies involved in fraud detection within the hotel industry and presents a comprehensive ML framework that may be used to address such issues. Fraudulent Activities Digitalization of the hospitality industry has allowed guests...

AI-Augmented Decision Intelligence: The Next Paradigm Shift in Hospitality Revenue Management

Andrew Rubinacci | January 25, 2024

By Andrew Rubinacci Artificial intelligence is everywhere. It’s making inroads into practically every field of human activity. It’s integrated into search engines, word processors, and various apps likely installed on your smartphone in your pocket. And there’s a reason for the tech’s proliferation: it is incredibly adept at analyzing data much faster and at a much larger scale.  In the hospitality realm, most people consider revenue management to be something that only humans can do effectively. Now, with the advent of AI, that’s no longer the case. As technology continues to advance, there is a growing trend toward enhancin...

How AI Will Create Adaptable Hotel Websites

Adam Mogelonsky, Larry Mogelonsky | November 22, 2023

By Adam Mogelonsky, Larry Mogelonsky Unveiled just over a year ago, ChatGPT is still foremost on our minds and numerous hoteliers already see the value in how this technology will scale their businesses in the near future. But what underpins ChatGPT is what’s called machine learning (ML) and there are several companies that have been in weeds with it for long before this became a buzz term. Namely, using ML we can now reorder and rewrite website content on the fly to adapt to the customer at any stage of the guest journey. This idea of adaptable hotel websites with automated personalization and integrated booking engines (IBEs) that h...

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