NASHVILLE, Tennessee – Artificial intelligence (AI) has become a popular topic in the hotel industry, but there are still many questions about what it really is, how soon it will affect the industry, and how it can be used effectively.
At the recent Hotel Data Conference, during a panel titled “AI in Hospitality: How Will It Affect You?”, Kurien Jacob from Highgate Technology Ventures explained that AI and machine learning are modern versions of older machines designed to do specific tasks. He encouraged the industry not to fear AI but to see it as a tool that can significantly boost productivity.
Todd Brook from Unchained highlighted that much of the fear surrounding AI comes from not understanding how it works. He gave an example of using AI to analyze documents like Word files or Excel sheets, emphasizing that while using AI is simple, gathering the right data for it is more challenging.
Even though AI is similar to past technologies, some people are still hesitant to embrace it fully. Arlene Ramirez from CoralTree Hospitality suggested that the industry should focus on how AI can improve productivity rather than worrying about it taking jobs.
Lisa Targonski from Elder Research added that AI allows employees to develop new skills and get rid of repetitive tasks. She pointed out that other technologies in the past didn’t eliminate jobs but changed how people worked.
However, Kurien Jacob noted that AI might reduce the number of people needed for certain tasks because AI will handle more routine work, allowing humans to focus on creative and strategic tasks.
Todd Brook added that in the near future, the real concern might not be losing jobs to AI but being outpaced by colleagues who know how to use AI tools effectively.
AI Concerns and Risks
One major concern with AI is whether its outputs can be trusted. Arlene Ramirez said that users need to ask the right questions and understand their business to get reliable results from AI.
Todd Brook suggested that detailed questions, ideally about 200 words long, produce better AI responses. He emphasized the importance of checking AI’s work to ensure accuracy, as AI is meant to assist but not replace human judgment.
As more companies adopt AI, different departments may use it in various ways, which could lead to problems. Lisa Targonski recommended forming an AI council to create a consistent approach across the organization.
Kurien Jacob compared AI to refining fuel: just as oil needs to be processed to make fuel, data must be cleaned and verified before being used by AI. If the data isn’t accurate, the AI won’t work well.
On the productivity side, Jacob mentioned that AI can save time on daily tasks, allowing employees to focus more on creative and strategic work. Arlene Ramirez advised leaders to carefully choose AI tools that best fit their team’s needs, rather than trying to adopt every new technology.
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