Here's what you need to know about the business of travel today. Hotels are increasingly investing in wellness as more travelers are placing an emphasis on their physical and mental well-being coming out of the pandemic. So how can hotels best take advantage of the booming consumer interest in wellness? Senior Hospitality Editor Sean O'Neill turns to one expert for answers in this week's Early-Check In column. Gregory Miller, an analyst at investment firm Truist Securities, said hotels have to tread carefully in wellness. He acknowledged that even luxury hotels have a hard time running spas profitably, noting that poorly executing a product could damage a company's reputation.

While traffic jams seem inevitable in response to pent-up travel demand, a new machine-learning and artificial intelligence-based technology, …

After a hiatus, the "Overlook..." posts are making their comeback this month, continuing the modest quest of bringing formidable, lesser-known machine learning projects to a few additional sets of eyes. Check out the 5 projects below for some potential fresh machine learning ideas. As such, a common use case is to have the fastText classifier use a single column as input, ignoring other columns. This is especially true when fastText is to be used as one of several classifiers in a stacking classifier, with other classifiers using non-textual features. Understanding fastText is the important piece of the puzzle, but once this understanding is possessed, skift helps you easily implement fastText, as well as integrate it with other Scikit-learn functionality in general.

Editor's Note: In September we announced that Skift was expanding into food and drink with the addition of the Chefs Tech newsletter. We see this as a natural expansion of the Skift umbrella, bringing the big-picture view on the future of dining out, being fanatically focused on the guest experience, and at the intersection of marketing and tech. We publish C T twice weekly. As if online reviews didn't already have a legitimacy problem (looking at you, one-star-because-it's-closed-on-Monday Yelpers), a recent University of Chicago paper details how easy it is to use artificial intelligence (or, bots) to produce fraudulent restaurant reviews. The bots can read real reviews posted by real people and learn the language, posting real-sounding reviews that can even go undetected by a site's automated bot-detection software.

A survey of senior IT executives by SITA, a Geneva-based aviation technology firm owned by airlines and airports, finds that 52 percent of airlines plan major artificial intelligence programs. Looking ahead three years, chief information officers at 68 percent of airlines say they intend to adopt artificial intelligence-driven chatbot services. Exhibit A is Aeromexico, which since 2016 has been using a Facebook Messenger chatbot to answer routine questions from customers. Over the next three years, 80 percent of airlines "plan to invest" in prediction and warning systems, which rely heavily on artificial intelligence.

Earlier this month we released our annual travel industry trends forecast, Skift Megatrends 2017. You can read about each of the trends on Skift, or download a copy of our magazine here. There are few things buzzier in travel right now than the rise of artificial intelligence (AI) and human-machine interfaces. That's possible due to AI, or machine-learning, where Google can not only crunch data at the speed of light, but also "learn" how to deliver more nuanced results. "AI is simply a group of technologies that will increasingly be used to augment human capabilities, and make us better at the things we do best," wrote Bob Rogers, chief data scientist for analytics and AI solutions at Intel, in CIO, a publication serving chief information officers.

Last week, Skift published the 2017 Digital Transformation Report, sponsored by Adobe and Epsilon. In the past decade, mobile devices have revolutionized the travel industry. Some forecasts now predict more than half of all travel purchases are made with mobile, and mobile is reshaping how every travel organization, from corporate travel firms to airports to hotels, interacts with travelers. But despite all the rapid shifts already caused by mobile, even bigger changes are on the horizon. That's because three emerging interfaces, including voice search, artificial intelligence and conversational messaging, are transforming how travelers will interact with travel brands on mobile in the future.