Hospitality Reimagined: It’s Gut-Check Time for Hotel Leaders

by Jason Q. Freed, Managing Editor |

I’ve never felt that the hotel industry will go the way of the newspaper industry and just die – crushed by a disruptive force as strong as digital media.

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How Your Own Data Resets the Hotel-OTA Relationship on Better Terms

by Mark Brandau, Director of Content |

If hotel distribution is the love-hate relationship that hoteliers described in a recent HEDNA survey, it’s time for friends and partners of the hotel industry to stage an intervention and break properties out of this codependent setup.

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Revenue Strategy Report: The Real Potential for Artificial Intelligence in Hospitality

by Marco Benvenuti, Chief Marketing and Strategy Officer and Co-Founder |

Anybody who’s been to my house or Duetto’s offices would know I’m a huge “Star Wars” fan, but lately, the conversations I hear about artificial intelligence and how it might disrupt hotels and casinos remind me more of “Blade Runner.” Do we need to act like Harrison Ford hunting replicants and disable AI before it creates some dystopian future? No, I don’t think so.

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Trick or Treat! Duetto’s Fall ’17 Release has Treats on Treats!

by Marco Benvenuti, Chief Marketing and Strategy Officer and Co-Founder |

It’s that time of year again to treat yourself with Duetto’s Fall ’17 release. We have some exciting new products up our sleeve coming in early 2018, but in the meantime we are focusing on developing great new features in the Duetto Data Platform, GameChanger, ScoreBoard and our Analytics Platform.         

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The Definitive Guide to Hotel Blockchain Technology

by Ed Watkins, Contributing Editor |

In the past few months, blockchain technology has become the new buzzword in hotel technology. Nearly every day, the travel technology press publishes a story touting the coming wave of innovation in this space, and how blockchains might be at the crux of that for the travel industry.

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How Cognitive Computing Will Transform Hospitality

by Joanna DeChellis, Contributing Editor |

Plenty of companies are reorienting themselves around machine learning and predictive analytics. Take Netflix, for example: It uses machine learning to recommend movies or a series you might like based on what you’ve previously watched. But the amount of data available relating to a person’s preferences extends far beyond whether or not you like House of Cards.

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