Travel


How AI isn't as Bad as You Think For Your Hotel - Naully Nicolas

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Today, it is all about creating outstanding and unique experiences from trip planning through to check-out and their return home.It is starting with the first casual visit to the website, presenting personalized options and recommendations, to capturing user preferences and behavior in the process to book a room, leading to the actual guest experience at the hotel, capturing details on the food ordered and usage of other amenities, there is a sea of information that could be intelligently used to create superior guest experiences in the future. This is where Artificial Intelligence becomes an infinitely powerful medium to invisibly and unobtrusively capture the zillion data points for thousands of guests and convert these to contextual, analytical, actionable insights to be used for a great experience at every point of the customer lifecycle. Hotels of the now and future greatly need a connected platform and ecosystem that is constantly acquiring, contextualizing, processing and analyzing customer data, and turning it into predictive and actionable insights for generating a superior guest experience. This data can be leveraged by hotels for analytics to determine guest personas and create customized services, communications and promotional offers that provide targeted and unique experiences.


IoT Data Marketplaces: Just What AI Developers Need? IoT For All

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This huge pool of data represents great potential for developers to use to train AI systems. There is a trend that may help AI researchers access IoT data, at least for those whose organizations have the cash to pay for it. As long as privacy issues can be effectively addressed, IoT data has a great potential to provide even more useful contextual data about consumers for marketers. While the marketing industry's track record of consuming, and more importantly paying for, data means they have a high potential for being a first mover for a market for IoT data sets, they will not be the only one.


The Role of Emotional Intelligence in AI

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For that reason, marketers are now turning to messaging platforms to improve communication channels for sales and customer service conversations. Companies like United Airlines, Pizza Hut, Denny's Diner, Focus Features, and Patrón, just to name a few, have implemented bots on social media to field customer service issues or help consumers seek information more quickly.


A.I. innovation finds a home on mobile devices

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Mezi added to its consumer travel assistant app by launching a corporate "Travel-as-a-service" application at MobileBeat. Mezi for Business is designed for travel management companies, corporate and travel agents and now has customers including American Express and several travel agencies. Amazon, and later Netflix, popularized recommendation engines that offer consumer suggestions as to things people might like to purchase based on recent purchases; for example, "People who bought a Schwinn bicycle also bought a Kryptonite lock." Later, as the database of customer profiles grows, Square can offer users things like automated loyalty programs.


Why travel brands need to up their chatbot game Travel Industry News & Conferences - EyeforTravel testing

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The report investigated how many travel brands have used Facebook Messenger to deliver customer service, and how many bookings were secured. Nearly two-thirds of airline brands (64.1%) are responding to customers within 24 hours, ahead of hotels, airlines and car rental companies in that order. Just under half of online travel agencies (OTAs) provided assistance for booking through a Messenger chatbot, compared to 18.8% of car rentals, 15.2% of hotels, and 8.7% of airlines. So as Facebook reports earnings this week, travel brands should be looking to read between the lines to understand where one of the world's three most valuable internet companies is headed next.


Why Emotional Intelligence Is Far More Valuable Than Artificial Intelligence

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For that reason, marketers are now turning to messaging platforms to improve communication channels for sales and customer service conversations. Companies like United Airlines, Pizza Hut, Denny's Diner, Focus Features, and Patrón, just to name a few, have implemented bots on social media to field customer service issues or help consumers seek information more quickly.


Is Artificial Intelligence-Driven Customer Service Better Customer Service?

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But will AI-driven customer service truly provide superior customer service? To test the hypothesis that AI delivers superior customer service, we have to define use cases, or situations, that can be evaluated. Simply providing data-driven answers to easy questions is not a demonstration of AI's potential to provide superior service. There's another thing that makes me question whether AI-driven customer service will truly deliver superior results.


Predicting Flights Delay Using Supervised Learning, Logistic Regression

@machinelearnbot

In this post, we'll use a supervised machine learning technique called logistic regression to predict delayed flights. In the machine learning literature this is called a binary classification using supervised learning. This breaking up of our data set to training and test set is to evaluate the performance of our models with unseen data. Using the entire data set to build a model then using the entire data set to evaluate how good a model does is a bit of cheating or careless analytics.


A.I. innovation finds a home on mobile devices

#artificialintelligence

Mezi added to its consumer travel assistant app by launching a corporate "Travel-as-a-service" application at MobileBeat. Mezi for Business is designed for travel management companies, corporate and travel agents and now has customers including American Express and several travel agencies. Amazon, and later Netflix, popularized recommendation engines that offer consumer suggestions as to things people might like to purchase based on recent purchases; for example, "People who bought a Schwinn bicycle also bought a Kryptonite lock." Later, as the database of customer profiles grows, Square can offer users things like automated loyalty programs.


Face Scans for US Citizens Flying Abroad Stir Privacy Issues

U.S. News

In a June 29, 2017, photo, U.S. Customs and Border Protection Officer Sanan Jackson, right, helps a passenger navigate the new face recognition kiosks at gate E7 for a United Airlines flight to Tokyo at Bush Intercontinental Airport in Houston. The Trump administration intends to require that American citizens boarding international flights submit to face scans, something Congress has not explicitly approved and privacy advocates consider an ill-advised step toward a surveillance state.