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Predictive Maintenance in Hospitality Using AI and AWS Bedrock

Author(s) Mahaboobsubani Shaik
Country India
Abstract The Predictive maintenance in the hospitality industry embraces both AI and cloud-based solutions to improve the dependability of services and efficiency in hotel operations. The following article explores the implementation of AWS Bedrock within hotel facilities in depth, demonstrating its ease in the integration of AI models toward predictive maintenance applications. Implementation strategies have been discussed, covering sensor data integration, real-time analytics, and predictive modeling. Case studies underline tangible benefits like cost reduction in maintenance, minimized equipment downtime, and enhanced satisfaction of guests. The study outlines how AWS Bedrock makes AI deployment easier-scalable, customizable, and at low cost-which will enable the hotel industry to proactively manage their infrastructure while delivering a superior customer experience.
Keywords Predictive maintenance, AWS Bedrock, artificial intelligence, hotel facilities, data integration, operational efficiency, service reliability, hospitality industry, real-time analytics, cost savings, guest satisfaction
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 4, Issue 2, February 2023
Published On 2023-02-07
Cite This Predictive Maintenance in Hospitality Using AI and AWS Bedrock - Mahaboobsubani Shaik - IJLRP Volume 4, Issue 2, February 2023. DOI 10.5281/zenodo.14352792
DOI https://doi.org/10.5281/zenodo.14352792
Short DOI https://doi.org/g8t7rq
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