AI in Travel

For airlines to deliver a seamless passenger experience, technology, people, and systems must connect on the back end.

This new whitepaper from Adara, based on the results of a survey of close to 500 travel marketing executives, offers a snapshot of the industry’s progress deploying advanced data-driven personalization strategies.

Gone are the days when “legacy systems” could explain away a travel brand’s inability to deliver next-level personalization.

The best airline solutions lie at the intersection of data, people, and technology that makes sense of the data and connects the people.

Artificial intelligence was a hot topic at this year’s Skift Global Forum in New York. In this video recap from the event, we learn about the true power of AI in the travel industry, which will pail machine-powered automation with smart insights to create more meaningful relationships with customers.

Oyo is more than just a budget hotel operator these days. Investments into its vacation home rental business are proof of that.

Higher customer service expectations in the airline industry mandates a new approach to using innovative technology. This means not only deploying solutions to improve direct-to-customer experiences but also empowering employees to provide exceptional service at every touchpoint.

The travel industry is obsessed with Big Data and artificial intelligence. The genie is out of the bottle. But the best way to use it will trigger an intense debate and much soul-searching.

The use of technology in hospitality must go beyond improving consumer-facing products and digital experiences. Its true potential will be realized when hotel staff are empowered with the right insights at the right time so that they can transform guest experiences.

Artificial intelligence was a hot topic at this year’s Skift Forum Europe in London. In this video recap from the event, we learn more about how Tinyclues is helping travel brands like Thomas Cook use AI to deliver more personalized shopping and buying experiences to customers at scale.