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.
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.
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.
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.
Sabre is testing an artificial intelligence-powered chatbot with two corporate travel agencies, enabling their customers to interface with the bot for common service and support requests. Sabre's chatbot leverages Microsoft Bot Framework and Microsoft Cognitive Services, including its Language Understanding Intelligent Service, which provides the tools to enable the bot to understand commands about travel and perform the correct functions. Two agencies are testing a white-labeled version of the chatbot: Travel Solutions International USA in Dallas and Casto Travel in San Francisco. "By handling frequently asked basic support requests, the bot will free up our agents to focus on more complex, value-added interactions with travelers," said Claire LeBuhn, vice president of support services at Travel Solutions International.
But as of Tuesday, you can ask the virtual personal assistant inside Amazon's Echo to make hotel reservations for you too. Kayak developed the interface that right now applies only to hotel bookings through its website. So you might say: "Alexa, I need you to book a hotel room in Boston." Right now, because Kayak is a travel booking comparison site, reservations are made through prices on its sister companies Booking.com and Priceline.com.
But at the same time the phrase "real humans" is an oxymoron. The Turing test that challenges software to display indistinguishably human intelligence to a set of human judges hasn't yet been passed convincingly -- unless you count a 2014 experiment in which a chatbot posing as a 13-year-old Ukrainian boy convinced a third of the judges it was a real boy after five minutes of text chatting. Chatbots and virtual assistant AIs may have got a lot savvier than their Clippy forerunners, but they're still sitting on a set of definitely discernible rails. Such an incoming tsunami of artificial noise might well explain why someone is already spying mileage in employing -- and boasting about deploying -- "real human" assistance as part of a differentiating business advantage.
Initially being applied to roadside security -- such as stopping car bombs or drugs smuggling -- UVeye's tech claims to be able to analyse any vehicle from underneath to identify and detect threats that would otherwise be concealed to the human eye, even as it is moving, up to 28 MPH, apparently. We are the first to introduce a machine learning vehicle inspection system that detects anomalies in any vehicle while in motion within three seconds using advanced image processing and audio recordings". "In the era of Mobility-as-a-Service, companies such as car rental companies, fleets, car dealerships, vehicle repair shops, and OEMs all rely on seamless vehicle operation. UVeye's machine learning system can detect vehicle leaks, wear and tear, and any damages that would previously go unnoticed.
Fortunately, technological advances have created computer systems that learn about their users needs, wants and desires quickly so they may provide the information needed with more accuracy than ever before. For the travel industry the system is turning into a windfall as they learn to utilize the growing amount of data generated, collected, collated and then displayed through the use of algorithms designed to keep computer users informed on topics of interest. In a recent survey, 61% preferred humans to automation or robots at the check-in desks at airports. Just like the frustration many people experience when dealing with a robot when calling a company, to face robots or technology when traveling could quickly ruin a vacation or business trip.
Now, Dubai Police is taking its force to the next level with small autonomous patrol cars equipped with drones, according to Gulf News (via The Verge). In case it needs to follow an individual, or for another reason, the car will launch a drone from the rear, which is monitored and linked to Dubai Police offices. It will be deployed at tourist destinations in Dubai," Brigadier Khalid Nasser Al Razooqi, director of the Smart Services Department in Dubai Police, told Gulf News. "We are not going to fire our police officers by replacing them with this tool but with the number of people in Dubai increasing, we want to relocate police officers so they work in the right areas and can concentrate on providing a safe city," Brig Al Razooqi said in statement.