A few years ago, Forbes Magazine came out with an article titled “10 Most Powerful Artificial intelligence in Use today”. From virtual assistants like Apple’s Siri and Amazon’s Alexa to smart home appliances like Nest and smart vehicle systems from Tesla, they touched upon the most successful AI technologies available then. But technology is always evolving and new applications are being explored continuously. AI is no more a mysterious entity that you see only in movies. It may not be as advanced as in the likes of The Matrix or The Terminator, but tech companies are making significant strides every day. Let’s quickly look at some popular real-life examples of AI in today’s world.
1. Virtual Assistants
Virtual assistants can do tons of everyday tasks like reading your emails, scheduling meetings, writing to-do lists, streaming music or podcasts, or getting the latest news. There’s nothing they cannot help you with. Machine learning and language processing algorithms help virtual personal assistants learn your preferences, language, and hence, your queries better.
Digital chatbots are another example of commonly used AI-powered algorithms used by businesses to provide customer support. They’re incredibly useful in automating customer support and save enormously on manual hours spent answering customer queries.
2. Smart Home Appliances
With Google’s Nest, you can command over 50, 000 devices in your home to operate as you need. From smart lights, plugs, speakers, home thermostats, cameras, alarm sets to TVs, washers, dryers, vacuums, you can connect all your home appliances to your phone through the Google Home app and control them with Google Assistant voice commands. You can even schedule your home appliances to turn on and off at specific times of the day using the App.
3. Smart Vehicle and delivery systems
Since 2017, Amazon has been working on its Prime Air Service that will utilize autonomous drones to deliver packages, up to 5 pounds in a 15-mile radius, within 30 minutes of placing an order. From take-off to flight, landing, and return, the drones operate completely on their own. In 2020, Walmart announced that it would start testing its drone delivery systems with partner companies Zipline and Flytrex. Zipline’s drones can reportedly deliver packages up to a 50-mile radius. Although it is not clear when the technology will be available to the common public, we can sure hope for an easier and faster home shopping experience in the coming years. Tesla and Waymo’s self-driving cars use a range of cameras, sensors, computer vision, and other AI algorithms to drive cars autonomously, but further improvements are required to make the cars fully automated. The cameras and sensors collect data about the surroundings, such as how far behind a car is or how fast it’s moving. The AI algorithm and computer vision interpret this data to find out things like whether the car is in the correct lane and whether it’s at an appropriate distance from other cars, etc. The control system then uses the interpretations to make calculated decisions about accelerating, braking, switching lanes. Uber and Lyft are also developing their fleet of self-driving cars.
The most impressive use of AI in Healthcare is the analyses of enormous amounts of patient data to pull up clinical decision support (CDS) for doctors and hospital personnel. AI solutions help clinicians make educated clinical judgments and offer definitive treatments for patients using machine learning. The algorithms analyze digital patient records to identify treatment solutions quickly and in a more cost-effective manner. For example, the Lineberger Comprehensive Cancer Center at the University of North Carolina used IBM Watson’s Genomic work to single out specialized treatments for about 1,000 cancer subjects. Administrative tasks like taking patient histories (voice to text), recording patient charts, and even giving out prescriptions can be automated with the data gathered by deep learning algorithms. AI technology can also be used to perform complex surgeries like eye and heart surgeries, with greater precision and control.
The finance industry too can take advantage of AI to automate their tasks; from detecting fraud, cyberattacks, and other suspicious activity within systems to studying market data and predicting high fidelity stock. In 2017, Capital One’s Eno was the first virtual assistant offered by a US bank to customers. JP Morgan Chase employs a fraud detection algorithm for their credit card transactions, bolstering their security and reliability greatly.