Artificial intelligence (AI) has made some real breakthrough in recent years, it's now not just limited to the field of developers and data scientists. AI is expanding because it simplifies our everyday tasks so that we can focus more on the intellectual aspects of the job. Whether it’s conversing with Alexa to play your favorite song or get an update on the weather, or Facebook friend suggestion, AI is enabling flawless interaction between humans and machines, therefore, improving the user experience. Let's take an example to show what AI can do. Let's say you return from work daily at 6:30 pm. After coming back you switch on the AC, make yourself a cup of coffee, turn on Netflix and relax on your couch. But what if all these facilities are already available to you before you even reach home? An electric kettle driven by machine learning and artificial intelligence can meet these needs, your TV and AC is set to turn on at a particular time through AI. Such a technology can even predict the time change of your arrival, navigate your current location, and instantly make a cup of tea exactly as a human would do. You may not need notify or oversee such a machine.
Let’s have a look at some case studies of companies that are using AI to improve their user experience
Netflix Netflix uses AI to determine where to put the ‘New Episode’ badge and place subtitles in a video frame.
This is an example if 'New Episodes' badge hiding the title of the show. A text detection algorithm automatically detects and corrects such cases and places text and subtitles correctly.
AirbnbAt any holiday destination, regardless of location, the accommodation prices are generally based on demand vs supply model. For eg., hotel prices rocket high during peak seasons.
Airbnb's ‘Price Tips’, is a tool designed through AI which lets its hosts know what should be the price of your property on a said date. If the hosts have priced their property right, the date on the calendar appears green if not it appears red. With this information, hosts can market their property just at the right price so that renting out is more likely. Price tips use a lot of data like listing type, location, availability etc to calculate the right price for the listing. This makes the process for users much more transparent.
Google’s Autodraw This one is my favorite. Auto Draw is one of Google’s AI attempts at auto-generated visual elements. This tool auto-completes your drawings and turn them into a more refined variant of what people are normally capable of sketching with a mouse. This is possible because of machine learning: the more people use the tool to draw, the more data AI gathers about what people are attempting to draw. Designers (and non-designers) can enhance the quality and finish of whatever they are trying to create, without wasting too much effort in doing it. Give it a try you will love it.
Facebook Facebook uses AI to determine the content of the pictures you upload. Few practical applications of this feature are
1. Facebook can “read” the content of the image for users with visual impairments who browse Facebook using screen reader software
2. Identifying what’s in the photo Facebook can target you with more relevant advertising
3. Auto-tagging of friends in Facebook photos is also possible because of Facebook's face recognition
All these features make the user’s life so much easier
Source Siri Apple’s Siri is one of the most successful personal assistant services. It facilitates activities like searching data online, map navigation, making calls, mailing or sending messages, setting reminders, or just loading an app. It is driven by machine learning and it improves assistance to its users by getting familiar with user behavior over time. Users now don’t even have to pick up their phone, simple voice commands will do all their tasks
Tesla Autopilot Tesla is continuing to explore vehicular self-driving capabilities. Tesla has made auto driving cars a reality, Tesla cars can control speed, change lanes and even park without driver assistance. It is an ongoing developing technology which is learning from experience just as humans do. Maybe that day is not far away when full self-driving will be possible. Passengers can just sit back and relax
Source ChatBots A live chat on your website is a must-have tool these days but employing people for this task is a costly affair instead what websites are doing is employing chatbots, AI chat applications are programmed by natural language processing (NLP) technology that addresses users in a very human-like tone which seems natural and genuine. Earlier talking to chatbots felt more like talking to a robot which was not a very great user experience but AI has made it possible to give it a more human touch.
AliBaba Alibaba Cloud Image Search is an intelligent image search assistance for its clothing line lets the user find similar or identical items on its website. Powered by machine learning any user on the website can upload an image and find recommendations for matching items. The user does not even have to know the name or brand of that product
Google Clips Google Clips is an inventive camera designed and intended to capture candid moments of familiar faces of people and pets. It uses fully on-device machine intelligence to learn to simply focus on the people you spend time with. The more you spend time with someone, the more it learns to capture pictures of them. Google Clips is clever enough to recognize good expressions, brightness and framing. So the camera captures wonderful, impromptu images. It gets smarter over time in understanding what makes for a nice and memorable photograph.
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