AI has been growing for the past few decades, and it is actively enabling people and businesses alike to achieve the unthinkable. By giving machines the power to think and evaluate has been one of the most challenging steps forward in the computing world. Because of this adoption of Artificial Intelligence & Machine Learning, businesses have eliminated most of their repetitive tasks and focus on solving unique and critical problems. While Artificial Intelligence is in itself a broader term used for encapsulating a vast variety of sub-domains, Machine Learning is one of them. Throughout this article, we will discuss some of the best examples of Artificial Intelligence in everyday life.
Our intelligence is what makes us human, and AI is an extension of that quality.”
— Yann LeCun
Examples of Artificial Intelligence in Daily Life
If you think that the implementation of Artificial Intelligence and Machine Learning is restricted to a limited number of industries or a niche amount of applications, you are mistaken. AI and ML have been deployed in a wide range of businesses and solutions, and we encounter them more frequently than you can imagine. In the following section, we will list some of the best examples of Artificial Intelligence in everyday life.
1. Open Your Phone With Face ID
With the launch of the iPhone X, Apple launched a radical way of unlocking your iPhone using just your face as a password. The underlying technology behind Apple’s newest security FaceID uses Neural Engine and Facial Recognition on Apple’s A11 and onwards silicon by generating a 3-dimensional map of the user’s face, capturing and matching the facial map image during the unlocking procedure. It even works when users are wearing accessories such as glasses, scarfs, makeup, and facial hair.
Other phone manufacturers also followed suit and introduced their take on Face Unlock technology using Facial Recognition software. Even Microsoft Windows jumped aboard this trend and introduced Windows Hello that uses similar technology as Apple for unlocking computers.
How iPhone X Face ID Works –
With the onset of Artificial Intelligence and its implementation in our everyday use platforms and applications, enhancing our style of working. Google and a few other email providers gradually introduced intelligent features, such as smart email categorization, quick replies, eliminating the hassle of unproductive tasks, simplifying our lives a bit more.
● Smart Email Categorization
By applying Artificial Intelligence techniques on our mailbox, Google gave us a smarter inbox, categorizing all the emails on its own, into folders such as Primary, Social, Promotions, Updates and more.
Through the use of machine learning algorithms, Gmail successfully filters 99.9% of spam.
● Smart Replies in Gmail
On the other hand, the Artificial Intelligence used behind smart email composition, and the quick reply feature on Gmail is based on Machine Learning algorithms and Natural Language Processing. Both of these features are just a tap away and are extremely helpful.
3. Entertainment and Social Apps
It’s not just the productivity applications that are getting the smart transformation. Entertainment and social media applications like Netflix and Facebook are also adding new features onto their platforms to offer an experience that isn’t just better but also smarter.
Ever noticed how Facebook suggests new friends to you?
Behind their suggestion system, rests a robust implementation of AI and ML that analyzes your usage patterns and drives features such as identifying friends from photos, newsfeed personalization. Facebook even introduced a feature that scanned user’s posts to detect if they are planning to cause self-harm to get them the help they might require.
Whereas, Netflix uses a smart implementation of AI and ML to give you recommendations on what to watch next. By learning from the users’ past viewing activity and utilizing an effective content rating system together that factors hundreds of metrics, the underlying algorithms work its magic on the recommendation system.
4. Google Navigation
Going back a couple of years ago, commuting used to be an extremely unpredictable activity, but now thanks to Google and Artificial Intelligence, everything has changed significantly. The connected nature of navigation elements such as traffic, vehicles, transportation systems makes it so much easier to identify slowdowns and replan commuting.
Google Maps, for instance, with the help of Machine Learning, learns about your everyday work commute and alerts you of traffic slowdowns when its time to leave. It can also identify delays in transportation systems such as flights, trains, and even buses by factoring in traffic status, weather conditions, and more.
Photo by Ingo Joseph from Pexels
5. Banking and Finance
Artificial Intelligence and Machine Learning play a vital role in the banking industry by providing security features as well as convenience to its customers.
● Fraud Prevention
Machine Learning can prevent fraud by regularly monitoring your spending habits, taking into account various factors such as intervals between transactions, it’s location, value, and more. The technology can help pinpoint whether the transaction is a legitimate one or a fraud.
Artificial Intelligence can help safeguard your payments by using facial and speech recognition, allowing only authorized payments to go through. Alerting for various payments such as bills, loans, transfers can also be managed by AI.
Photo by Roberto Cortese on Unsplash
● Mobile Banking
By using Artificial Intelligence in daily life, banks have gone entirely digital. Opening a bank account has never been easier, thanks to the paperless process. They now provide personalized mobile banking experiences to their customers with special offers on their services.
6. Google Predictive Search Algorithms
Whenever you try to search on Google, you must’ve noticed a few search terms auto-populate the search field. Behind this is Google’s Autocomplete feature that shows predictions as you type your search term character-by-character.
The algorithm for Artificial Intelligence used behind Google’s Predictive Search is called RankBrain, and its task is to fetch the results based on queried data. With each search, it improves the search results, bringing in more relevant results to the user.
Google uses a combination of technologies behind its leading search engine, including Neural Networks, Deep Learning, Machine Learning, and Artificial Intelligence. With how efficient Google’s search algorithms are, it would be difficult to imagine a world without it.
eCommerce has encountered a major overhaul over the past couple of years with the introduction of Artificial Intelligence and Machine Learning. It is considered one of the best examples of AI in everyday life with improvements that increase the quality of the platform as well as the customer experience.
Notice how you can type in “Red Bags” and get a list of red-colored bags instantly? It is made possible by the underlying AI algorithms, regularly categorizing product searches for efficient indexing.
● Product Recommendations
Enhancements to product recommendations use Machine Learning, taking in your usage patterns to suggest products and help you with your searches. These improvements can be found in practically every online marketplace such as Amazon, Flipkart, AliExpress, and many more, as they are highly popular and offer relatively better shopping experience.
8. Mobile use
With the combination of Speech Recognition with Natural Language Processing, smartphones began to offer natural communication between computers and humans. When it comes to smartphones, some of the widespread examples of AI in everyday life include chatbots, voice-to-text converters, and digital assistants.
Voice-to-Text converters convert your speech into text using a Speech Recognition system. Its applications include voice typing, opening applications, and has now become a standard feature among smartphones and computers.
Whereas, Advanced chatbots utilizing Natural Language Processing can effortlessly impersonate a real person and provide a more natural-sounding conversation by even answering complex conversational questions.
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9. Video Games
AI and ML have been used in video games for a long time to provide a self-improving and challenging experience to gamers. Regarded as one of the best examples of Artificial Intelligence in everyday life, these can be easily experienced by players in the form of:
- AI-controlled Non-Playable Characters (NPCs) that react dynamically to player actions
- Procedural Content Generation for generating automated newer game environment when combined with Machine Learning
- Player-experience modeling for dynamically balancing gameplay difficulty based on player skills
Machine Learning, on the other hand, is often used in video games to generate background music by using Artificial Neural Networks. DOTA 2, a famous MOBA game, uses Deep Learning in the form of OpenAI Five.
Photo by Sean Do on Unsplash
10. Smart Personal Assistants
With the improvements in speech recognition systems, we can now have a complete conversation with digital assistants with the technology being close to perfection. Voice assistants are the best AI examples in real life such as, Google Assistant, Alexa, or Siri.
They take your question via voice, and process it using the Speech Recognition and Natural Language Processing systems on your phone and output the results via speech or text.
The Artificial Intelligence used behind these smart digital assistants enables them to manage our digital lives as their role becomes ever critical. They assist with a variety of tasks varying from simpler ones to complex ones. Some of the activities they most commonly help manage are listed below
- Online shopping
- Controlling lights and other internet-enabled equipment
- Setting reminders and alarms
- Booking cabs, flights and trains
- Playing music and videos
- and many more
Photo by John Tekeridis from Pexels
With the abundance of real data from users, Machine Learning models can be trained efficiently to perform better, ultimately improving Artificial Intelligence with it. Mentioned above are the few best examples of Artificial Intelligence in everyday life that are omnipresent and simplify the vast majority of our daily lives. This is proof enough that AI is truly changing our lives by making us better and more productive to focus on the real challenges.
Content Crafter and Marketer at Digitalogy who specializes in technology and businesses. He is passionate about blogging and helps his clients to achieve online success. You will often find him at business conferences.