Artificial Intelligence

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

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.

By Robert Phillips, Advisory Board Member and Managing Partner, BAE Ventures

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.

By Henrique Veiga, CEO, BAE Ventures

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

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.

By Adam Mogelonsky, Partner, Hotel Mogel Consulting Limited

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.

By Adam Mogelonsky, Partner, Hotel Mogel Consulting Limited

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality

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.

By Jason Bryant, Vice President Strategic Growth Initiative, Oracle Hospitality