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Far from images of imposing robot armies, artificial intelligence or AI at its early stages is making a positive mark in some industries. While we are yet to see the advances described in science fiction books and films, we cannot brush aside the potential of this emerging technology as a game changer. It is slowly but surely gaining ground in healthcare and retail. But it is also creating a positive impact in a range of unlikely areas from immigration to insurance.
Are you curious about the possible applications of AI in your industry? How about your business in particular? Consider improving the user experience (UX) through the power of AI. Let the examples below inspire you.
Immigration application process assistance
The immigration application process is usually lengthy, and we’re not only talking about the lines. It costs foreign citizens time, effort, and money — not exactly an ideal experience. It gets more complicated depending on a person’s country of origin. Montreal-based law firm EXEO seeks to ease the burden of this scenario. Featuring AI, its solution is aptly called the Immigration Virtual Assistant or IVA.
IVA answers questions about Canada’s immigration application process, mostly concerning internet-sourced information that applicants cannot make sense of, through Facebook Messenger. Aside from IVA, another Montreal-based firm called Botler is facilitating a more streamlined immigration process to Quebec using chatbots. While chatbots have limited capabilities for now, they are seen as a cost-efficient alternative to customer support reps. Check out this report for a more detailed story on IVA.
Basic health care
Consulting an intelligent health assistant may be the more sensible alternative to seeing a doctor — not self-diagnosis. The proper linking of symptoms to causes, which medical specialists spend years to master, can now be done by a mobile app. More accurately, the AI that’s powering the mobile app.
Your.MD is a good example. According to The Next Web, “the assistant uses natural language processing and generation to provide a rich and fluid experience, and machine learning algorithms to create a complex map of the user’s condition and provide a personalized experience.” It will tell you what to do in order to recover from a sickness. Further, it will warn you when you already need to see a doctor.
“Hyper-personal” is the word when it comes to retail. Fashionistas can now spot trends, recreate looks, and find shops that cater to certain styles with various ecommerce apps and websites. All of them are featuring AI and big data.
For instance, Neiman Marcus allows users to snap images of bags and shoes and find similar styles on its mobile app. These steps are done on its mobile app, which employs smart image recognition to hyper-personalize the experience for individual customers. On the support side, Burberry jumped the chatbot bandwagon when it launched its own Facebook Messenger bot during the London Fashion Week.
Seamless UX on auto insurance mobile apps
Nobody wants to bring out the car insurance card on a regular basis. But in case people have to, car insurance companies have found better ways to offer a positive UX. Each of the top 5 providers in the US has dished out its own mobile app. Geico, State Farm, and Allstate have the highest ratings on Apple Store and Google Play, respectively.
Geico takes it up a notch with its virtual assistant, Kate. Meanwhile, State Farm has Jake. The VAs can answer questions related to coverages, billing, and more. As with other chatbots, Kate and Jake need more customer interaction to improve their intuition. Read more about how Geico, State Farm, and other policy providers are creating a more seamless UX for their clients.
AI for identifying objects and missing people? Motorola Solutions (not the mobile phone maker) says ‘Aye!’ The company that creates surveillance equipment is planning to integrate AI into police body cams. To do this it has partnered with Neurala, a startup focused on deep learning, according to Engadget.
Though not a consumer gadget, it bears the promise of helping individual officers become efficient in tracking objects. In line with this, there are some concerns regarding potential privacy breach and gadget misuse. But with accountability and responsibility, law enforcement personnel will do more good than harm with this use of AI.