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Three Practical Instances of How AI Can Optimize Hospitality Operations | Authored by Jason G. Bryant

Three Practical Instances of How AI Can Optimize Hospitality Operations | Authored by Jason G. Bryant
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The hospitality industry has faced uncertainty and change in recent years, requiring organizations to be adaptable and resilient. People are essential in this dynamic environment, with employees and leaders needing relevant knowledge and tools to develop critical skills. Hospitality companies are turning to AI to optimize workflows, minimize complex tasks, and empower employees.

In an article discussing Four Ways AI Can Transform the Hotel Consumer Experience, the focus is on how AI simplifies operational tasks and enhances staff efficiency. Real-world examples illustrate the application of AI in operations and its value for hospitality organizations:

1. Completing performance reviews faster: Generative AI’s assisted authoring feature analyzes data sources to create performance review summaries, improving conversations and retaining valuable employees.
2. Providing better service: Generative AI enables service agents to quickly create content for targeted services, enhancing productivity and meeting consumer expectations.
3. Understanding candidate credentials: Generative AI’s summary function produces concise summaries describing a candidate’s capabilities for hiring purposes.

The genAI capabilities utilized include assisted authoring, suggestions, and summaries, which streamline content creation, provide guidance for better outcomes, and extract key insights efficiently. These AI use cases highlight the potential applications in various industries, including hospitality, human resources, and customer service.

For more information on AI, machine learning, data science, generative AI, and Recovery Augmented Generation (RAG), additional resources from Oracle are available for further exploration.

Article Source
https://www.hospitalitynet.org/explainer/4122295.html

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