Ever gave a thought about how YouTube decides its video recommendations for you? Or Twitter’s For You feature in the Explore section?
What about Amazon showing you relevant products to buy? How exactly do these platforms know what to recommend?
And how does the Apple Watch measure your sleep patterns? How does your mobile device recognize your face?
By now, you may be a fan of Tesla’s driverless cars. This magic is through “Artificial Intelligence” and its branches of Big Data, Deep Learning, Neural Networks & Machine Learning.
7 Big Companies That Use Artificial Intelligence In Amazing Ways-
Big companies across the globe are heavily invested in the study and application of AI. Here are some examples of companies that use Artificial Intelligence for a better customer experience.
“Alexa, can you tell me what artificial intelligence is?”
“Alexa, is it going to rain today?”
Welcome to Amazon’s digital voice assistant Alexa! This product is one of the finest examples of how Amazon has embraced artificial intelligence and used it to enhance customer experience. Right from virtual assistant to its e-commerce website, Amazon has applied the AI concept in every possible way.
Its Amazon Go convenience store has revolutionized shopping with no waiting in line for check-outs. You simply walk into the store, add items to your basket and walk out.
Its e-commerce shopping website has very early on adapted to the benefits of AI. It uses the data available from its shoppers to present recommendations to them. The shopper’s previous purchase history, the money spent, the products purchased, the products and the category surfed, the timings spent on each item, the product reviews, literally, every minute detail helps in analyzing what the customer wants and what their future purchases may be.
A comprehensive data analysis takes place through AI and ML to understand the customer search query. It gives them an insight into why a customer is searching for a product, what features he is looking for in it, the money he is willing to spend, and also the tile period when he may probably make the purchase.
Amazon gives prominence to the customer’s intent or in predicting why a customer is searching for a particular item. The AI identifies the patterns in the search queries and categorizes them based on certain pre-defined parameters. All these are done to deliver relevant results and improve customer experience.
So, the next time, Amazon provides you certain recommendations for product purchases, know that there is a complex network of AI, ML and data analysis behind it to provide you assisted and personalized digital shopping experience.
Google has pioneered AI like no other IT company in the world. Don’t believe me? Start typing anything on Google Search and it gives you a host of search recommendations in the drop-down box with each alphabet you type.
Google is a quintessential stalker on your mobile. You may fret and frown that Google is spying on you everywhere, every time. But the matter of fact is that Google uses this data to develop intelligent systems through statistical analysis and pattern matching.
You may not know it, but AI is already embedded in your daily Google tools like Gmail, YouTube, Google Maps, Google Assistant and Google Search.
The best-use example of AI is in assessing the traffic through Google Maps. How does Google get it right? It uses real-time data and a complex module of time, distance and other datasets to predict the time required to reach a particular destination and traffic at a particular route at a given point of time.
And then what AI in Google Search? It provides you with suggestions in its search box. This is based on your previous search history, trending topics, your location, time, your interests and other datasets. If you get your search result by typing just 1-2 alphabets, don’t get worried. You know Google is trying to make it easy for you.
Using AI for providing video recommendations through the ‘Up Next’ feature on YouTube is just one of the ways of perfecting the feed thus improving customer experience. But did you know that AI is also used to help YouTube automatically remove objectionable content?
If you have been using Google Photos, you might have observed that Google Photos automatically categorizes the uploaded photos by face. This facial recognition feature helps users to view snaps that contain the selected face. And also, Google Photos categorizes the photos based on location too.
Google Assistant is a virtual assistant just like Apple’s Siri and Amazon’s Alexa that uses the power of speech recognition to comprehend human speech and provide answers to it automatically.
Data analysis with AI is used in Google Ads to help you with keyword research. And with Google Adsense, advertisements are shown to users who may highly be the target audience.
- BAIDU, ALIBABA, TENCENT (BAT)
We all know that many countries of the world are in the process of banning PUBG due to security concerns. Tencent, a partner of PUBG, is a famous Chinese multinational conglomerate and has its interests in gaming, entertainment, internet-related services and artificial intelligence. Tencent is also the owner of WeChat instant messenger. The slogan of Tencent is “AI in all”. This gives you an idea of how much invested, Tencent is, in AI.
Similarly, Alibaba, the Amazon of China has invested in AI to improve its e-commerce and payment services.
Baidu, the search engine in China like Google, also the fourth largest website, uses AI and ML in its intelligent virtual personal assistant (DuerOS), cloud storage service (Wangpan), an online encyclopedia (Baidu Baike), mapping service (Baidu Maps) and keyword discussion forum (Baidu Tieba). The Baidu search engine is the second largest in the world after Google and a leader in facial recognition technology.
The trio of Baidu, Alibaba and Tencent (BAT) have aggressively invested in AI research and advancement.
When it comes to AI, how can we forget to give due credit to Siri who has helped make our life better? Apple’s virtual assistant device uses the Natural Language Processing (NLP) technique of AI to respond to queries. The voice-activated digital assistant creates content in the spoken language so that humans can clearly get their queries answered. And with the home devices connected to Siri, the field of IoT (Internet of Things) keeps getting better day by day.
Apple is a pioneer when it comes to using AI and Big Data on its devices and the popular among such products is the wearable device, the Apple watch. From keeping a watch on the blood oxygen level to measuring your fitness metrics, the Apple watch does it all. It can take your ECG from your wrist or help you meet your sleep goals.
The iPadOS uses handwriting recognition technology to convert the written notes on the iPad with the Apple Pencil into a typed text. Also, the iOS phone has sound recognition features to identify sirens, doorbells, barking dogs or crying babies.
With more than 500 million daily active users, 50 billion photos on Instagram, 3 billion monthly users on Facebook, you can get the insane amount of data collected by Facebook & Instagram collectively. Not surprising that Facebook’s founder, Mark Zuckerberg had to face a lot of criticism and even the US Senate for the breach of data privacy in what popularly came to be known as the Cambridge Analytica scandal.
Facebook extensively uses Deep Learning techniques in AI to understand the content in the user images. It has developed a tool called DeepText to extract information and meaning from the user posts. The DeepFace facial recognition feature is an advanced tool to recognize faces in an image.
Though not hugely popular like Siri or Alexa, we cannot leave behind Microsoft’s virtual assistant, Cortana. It is the product of Microsoft’s interest in AI.
Microsoft has AI imbibed in Skype. It uses chatbots to answer queries. The chatbots are everywhere from Microsoft Office suites to Bing and Windows.
The story goes that Microsoft’s search engine Bing was far behind Google and Yahoo when their data scientist suggested building strong ML algorithms and data storage platforms to improve the user search results in Bing. By doing so, Bing’s share in the search market doubled in 5 years.
- TESLA & SPACEX
Driverless cars! Isn’t it the ultimate when it comes to AI applications? Tesla, the tech pioneer in the world of electric vehicles, uses AI integrated chips to help cars navigate through the traffic without a driver.
Tesla uses data from its vehicles to generate data-dense maps. Machine Learning modules and edge computing in the cloud decide the next course of action. A set of complex deep neural networks using cameras, ultrasonic sensors and radar are used to assess the surrounding around the vehicle to aid unsupervised driving.
Tesla is a leader in AI-based automobile companies, but why leave out Elon Musk’s space venture SpaceX? It uses data from space exploration and with the help of AI, the rockets and the Mars rovers take independent decisions.
In 2018, a SpaceX rocket with an AI-powered robot flew into space. Its Crew dragon spacecraft uses an AI autopilot to steer it close to the International Space Station (ISS).
Did you enjoy reading about big companies that use artificial intelligence in their products? Isn’t the world of AI, ML, Neural Networks, Deep Learning and Big Data exciting? This is just the start. A revolution is waiting to happen and maybe we cannot even predict what the future holds for us in terms of Artificial Intelligence and its applications.