Why Problematic Hotels Can Be The Most Valuable for AI to Learn From

Welcome to the next instalment of our AI Reality Check series, where we ask a simple question: if you're running a rubbish hotel, will AI actually make it a great one? 🤖🏨

In this conversation, I talk with Fulvio Giannetti, CEO of Lybra Tech, to explore why AI acts as an accelerator, magnifying whatever is already working (or already broken) inside a hotel's commercial operation.

🔑 In This Episode:
● Why AI amplifies existing problems instead of fixing them
● The real reason “bad data” usually isn't a technology problem
● How segmentation quality determines the value an RMS can deliver
● Why outliers are some of the most valuable data points you can have
● What actually separates a hotel that's ready for AI from one that isn't

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🔗 LINKS & RESOURCES
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● Lybra Tech: https://www.lybra.tech/
● Connect with Fulvio Giannetti on LinkedIn: https://www.linkedin.com/in/fulviogiannetti/
● Revenue Hub: https://revenue-hub.com/
● Connect with Trevor Grant on LinkedIn: https://www.linkedin.com/in/trevor-grant-revenue-hub/

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🏷 TAGS
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#AIinHospitality #RevenueManagement #HotelTech #DataQuality #HotelIndustry #RevenueHub #Lybra #AIRealityCheck #HospitalityTech #Hoteliers