Artificial Intelligence
Dive into the transformative realm of Artificial Intelligence within the hospitality industry with our in-depth exploration tailored for hotel professionals. Uncover the nuanced ways AI is reshaping guest experiences, optimizing operational efficiency, and revolutionizing personalized services. From smart room systems and chatbot concierges to data-driven decision-making tools, this comprehensive guide provides valuable insights into the strategic integration of AI technologies. Gain a profound understanding of the future landscape where AI meets hospitality, empowering hoteliers to navigate this dynamic intersection and stay ahead in delivering unparalleled guest satisfaction and operational excellence.
This Thematics is sponsored by Oracle Hospitality
Contextualizing AI: How an AI-powered Staff Interface Improves Guest Experience
As the closing part for the Thematic with Oracle Hospitality focusing on how generative artificial intelligence (GenAI) will help hoteliers, this latest panel discussion [link to video] is truly superb 50-minute conversation with Jason Bryant and Tanya Pratt, two senior leaders at Oracle Hospitality.
HNtv INSIDERS: Contextualizing AI: How an AI-powered Staff Interface Improves Guest Experience
As the closing part for the Thematic with Oracle Hospitality focusing on how generative artificial intelligence (GenAI) will help hoteliers, this latest panel discussion is truly superb 50-minute conversation with Jason Bryant and Tanya Pratt, two senior leaders at Oracle Hospitality.Covering many different topics, the underlying theme of this discussion is that the nature of labor in hospitality has fundamentally shifted over the past five years. Properties are experiencing, and will continue to experience, labor shortages and high turnover, while the new associates coming into the industry are often not giving the full training resources due to budgetary constraints.The primary way that GenAI will help is by reducing the busywork or non-guest-facing tasks that these team members don’t consider to be the primary draw or motivation for advancing their careers within a hotel setting. Importantly, these tools will be embedded within user platforms rather than bolt-on entities that are likely to make tech matters more complicated for the already harried associate or manager.In other words, GenAI and its forerunner, machine learning (ML), will help to invisibly connect the dots in real-time so that staff can be even more guest-facing. This will help to motivate teams to stay in their roles while also enabling better guest service, personalization and upselling opportunities. Be sure to listen or watch as we also explore other AI concepts like summarization, categorization and retrieval-augmented generation (RAG).
AI’s Transformative Impact on Hospitality and Travel: Key Insights from the BAE Event
The intersection of artificial intelligence and the hospitality and travel industries heralds a transformative era characterized by unprecedented operational efficiencies and enhanced customer experiences. Ernst & Young’s analysis underscores how AI is reshaping these sectors, from optimizing resource management to personalizing guest services. Companies like Mercan Hotels are leveraging AI for internal communication improvements and marketing, while addressing the challenges of data quality and bias. The trend is clear: AI is not just a tool for automation but a catalyst for innovation and strategic growth, as seen in various corporate and startup initiatives.
AI Revolutionizing Hospitality: Addressing Pain Points and Paving the Way for the Future
The recent Walk The Talk: AI in Hospitality and Travel event spotlighted critical challenges plaguing the hospitality industry and unveiled cutting-edge AI-driven solutions already transforming the sector. Industry leaders shared insights into how AI is tackling these pain points and offered a glimpse into the future of hospitality, showcasing innovative strategies and technologies that promise to redefine the guest experience.
The AI-Fueled Organization: Transforming for the Future with Oracle
In today’s dynamic world of cloud computing and enterprise solutions, Oracle has established itself as a leader by integrating advanced technologies to boost business operations across various industries. Let’s look at the applications of Oracle Hospitality, Oracle Cloud Infrastructure, and Fusion within the broader framework of Oracle’s enterprise solutions, and highlight how these platforms deliver robust, AI-enhanced functionalities, driving efficiency and growth in the hospitality industry and beyond.
GenAI Copiloting Use Cases for Hoteliers Applicable Today
One of the foremost ways that generative artificial intelligence (GenAI) will help hoteliers is through tools that function much like how individual people are using ChatGPT today: to help with the creation of text. Before looking at specific use cases that senior hotel leaders and managers can try out right now, some theory is in order.
Three Real-World Examples of How AI Can Streamline Hospitality Workflows
Over the last few years, the two things the hospitality industry has learned to count on are uncertainty and change. As a result, organizations need adaptability and resilience to navigate this highly dynamic world, and their people are the foundation for both. As environments change, so do business priorities, and effective organizations will position their people to adapt on the fly.
Four Ways AI Can Transform the Hospitality Consumer Experience
While the discussion around Artificial Intelligence (AI) has been going on for years, there has been a renewed level of enthusiasm since the introduction of generative AI technologies like ChatGPT.
Machine Learning from PMS Data Extraction Enables Personalization and Segmentation
In the latest Thematic World Panel, we posed the question of how primary data extractions from the property management system (PMS) can be used for machine learning (ML) to the grow a hotel or heighten productivity. With a range of astute viewpoints from respondents, there are two main themes that the answers revealed.
Near-Term Machine Learning Use Cases for Hospitality
Using interfaces to access the multitudes of information housed within a hotel’s property management system (PMS), technology vendors have on their hands a literal treasure trove of first-party training data for machine learning applications. Any primary data extraction must nevertheless be focused around specific use cases that must be tested and verified before deploying in a live environment. Thus far, we’ve seen lots of discussion around what’s possible in the abstract for machine learning, but outside of perhaps chatbots and algorithmic rate optimization recommendations, many of the purported use cases are not practical for the here and now.
Generative AI Agents Promise to be a Boon for Hotel Operations
As of now, the common sentiment around Generative AI (genAI) and the use of large language models (LLMs) or generative pre-trained transformers (GPTs) for hospitality is centered around chatbots and their ability to answer guest inquiries and, in some cases, complete standard room reservations. While we all inherently grasp that there are applications far more advanced than these already-advanced functionalities, standing above the rest are the AI agents that can be trained to perform specific and rather complex tasks.
Data Maturation Represents the Essential Reason for Deploying Machine Learning Today
From the recent articles that Oracle Hospitality has published on both how machine learning (ML) works as well as some of its key applications, there is a single term that all hoteliers should remember when deciding how to commercialize this type of artificial intelligence (AI). This term is ‘data maturation’ and, as the name suggests, you need time to let the ML occur. You need to give the computers time to swift through the reams of training data to test variables and find the patterns that will then lead to the algorithms and models to advance business goals.
Understanding GenAI with Its Applications that Hotels can Realize in 2024
In the first post of this series, we explored the value proposition of machine learning (ML) to the hospitality industry. It was a pretty straightforward article to write because ML is already generating demonstrable value for hotels and hotel companies, and there are still substantial financial gains to be realized by the technology. Now let’s talk about generative artificial intelligence (genAI), which many believe has the potential to dramatically increase productivity across all industries, including hospitality. How much of an increase? Estimates value the potential productivity boost to the global economy at up to $8 trillion a year.
Generative AI and Neural Net Fundamentals
There are two answers to the question of how generative AI models work. Empirically, we know how they work in detail because humans designed their various neural network implementations to do exactly what they do, iterating those designs over decades to make them better and better. AI developers know exactly how the neurons are connected; they engineered each model’s training process. Yet, in practice, no one knows exactly how generative AI models do what they do—that’s the embarrassing truth.
Machine Learning Basics for Hotel and Correlation versus Causation Modeling
There are many definitions of machine learning (ML). For purposes of this explainer, ML is the scientific study of algorithms and statistical models that computer systems automatically use in real-time to effectively perform a specific objective function (such as optimizing revenue) without using explicit instructions. Instead, ML relies on patterns and inference. All this is performed using a feedback loop so that each successive iteration further increases precision of the models, which drives and improves the objective function.
Introducing Machine Learning’s Applications for Hotel Operations
So much has been written recently about how artificial intelligence (AI) in its various forms can help hotels run their businesses better by increasing guest engagement while decreasing expenses. Almost all that attention to date has focused on generative AI (genAI) and its potential to help travelers plan and book travel or to provide personalized responses to service guest or employee queries.
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