Artificial Intelligence in the Real World: 8 Useful Examples
Writer : Angle Marque EG
To the extent that you came across this article by performing a Google search for "artificial intelligence," you've already made use of AI. Using AI is as simple as taking an Uber or letting your phone auto-correct a spelling mistake. When it comes to artificial intelligence, there's a lot of confusion. What positive effects does it have on our day-to-day activities? Despite the seemingly endless applications of AI, here are eight examples of AI we use every day.
What is Artificial Intelligence?
An understanding of artificial intelligence is essential before we can begin to see how this technology affects our lives in any meaningful way (and what it is not). Artificial intelligence is defined as follows by the Oxford English Dictionary:
It's important to remember that artificial intelligence refers to the process by which a computer can learn from and act on data through statistical analysis. This is a computer-controlled procedure. Automated systems with artificial intelligence (AI) can learn from human behavior patterns and modify their responses accordingly. There is a lot more to be said about AI, but this is a good starting point.
Machine learning (ML), deep learning (DL), and natural language processing (NLP) are three of the most important AI technologies (NLP).
Data-structured big data sets and ongoing feedback from humans and algorithms are used to train machines in machine learning.
Even though Deep Learning is considered to be a more advanced method, the data does not need to be structured for it to work.
The field of computer science's Natural Language Processing (NLP) makes use of linguistic tools. Human language can now be read and understood by machines thanks to the advent of natural language processing (NLP). Natural language processing (NLP) allows computers to convert human speech into digital input.
Artificial Intelligence: Eight Real-World Examples
Artificial intelligence can be found in a variety of everyday situations, so here are eight examples.
1. Maps and Navigation
The ability to travel more efficiently has been greatly enhanced thanks to advances in artificial intelligence (AI). With Waze, Google, or Apple Maps on your phone, you no longer have to depend on paper maps or directions to find your way.
Is there a way for the application to know where to go? What about the best path, roadblocks, and traffic jams? The only GPS technology available until recently was satellite-based, but artificial intelligence is now being incorporated to provide users with a much improved experience.
With the help of machine learning, a map's visuals can be improved and house and building numbers can be recognized and understood more clearly. To avoid roadblocks and congestion, the application has been trained to identify and understand changes in traffic flow.
2. Facial Detection and Recognition
Artificial intelligence is now a part of our daily lives in the form of virtual filters on our faces and face ID for unlocking our phones. Face detection is incorporated into the former, allowing it to identify any human face. In this case, a person's face is recognized using face-recognition technology. Government facilities and airports both employ facial recognition technology for surveillance and security.
3. Text Editors or Autocorrect
Machine learning, deep learning, and natural language processing appear to be used to identify incorrect language usage in word processors, texting apps, as well as any other written medium. Computer scientists and linguists collaborate to teach computers grammar in the same way that you were taught it in school. Because the algorithms are trained on high-quality language data, the editor will catch you when you use a comma incorrectly.
4. Search and Recommendation Algorithms
How often do you find yourself presented with recommendations based on your previous searches or your interests when you want to watch a movie online? Over time, these intelligent recommendation systems have gleaned information about your browsing habits and preferences from your online activity. Using machine learning and deep learning, the front-end (user) data is collected and analyzed. Predictions and recommendations can then be made about what you might want to buy or listen to in the future based on your past purchases and listening habits.
Contacting customer service can be both time-consuming and nerve-wracking for a buyer like you. It's a costly and difficult-to-manage department for most companies. Use of chatbots, an increasingly popular artificially intelligent solution, is becoming increasingly popular. Machines can answer frequently asked questions, track orders, and direct calls thanks to pre-programmed algorithms.
Natural language processing is used to teach chatbots to mimic the conversational style of customer service representatives (NLP). Advanced chatbots no longer require inputs (e.g. yes/no questions) in a specific format. They are able to provide in-depth responses to questions of a more complicated nature. Actually, if you give a bad rating for your response from the chatbot, the bot will identify the mistake it made and fix it for future responses to ensure maximum customer satisfaction.
6. Digital Assistants
Many people resort to hiring digital assistants when they have too much on their plate. Ask your assistant to call your mother while driving (do not text while driving, kids). You can use a virtual assistant like Siri to access your phonebook, identify the word "Mom," and dial the phone number. In order to figure out what you want and go out of their way to get it, these assistants use a combination of NLP, ML, statistical analysis, and algorithmic execution. Searches conducted via voice and images are very similar.
7. Social Media
Among the many tasks that social media apps perform with the assistance of AI are monitoring content, suggesting connections, and serving advertisements to specific users.
AI algorithms can quickly identify and remove content that violates terms and conditions by identifying keywords and analyzing images. However, this process doesn't end with the neural network architecture of deep learning.
So, social media companies use artificial intelligence to connect their customers to advertisers and marketers who have identified their profiles as key targets. Social media AI can also figure out what kind of content a user is interested in, and then recommends that kind of content to them.
For the past five years, you haven't been to a bank branch because of the rise of artificial intelligence (AI). Using artificial intelligence, banks are now able to simplify the payment process for their customers.
Deposits, transfers, and even account openings can now be done from anywhere thanks to AI-powered security, identity management, and privacy controls.
Observing how people use their credit cards to make purchases can reveal anything from actual fraud to possible fraud. Artificial intelligence can be seen in this as well. When and where a user buys certain products, as well as what price range it falls in, are all known to the algorithms.
An alert or a prompt to verify transactions can be generated if there is an unusual activity that does not fit the user profile.
These examples of AI show why AI is talked about everywhere; it's used everywhere. AI touches nearly every aspect of our daily lives. When we use mobile ordering, we might get a new coffee recommendation. While you're out to lunch, Instagram might pop up with a new video. You can find a new restaurant to try for dinner thanks to Google Maps. However, this is just a starting point; the list could go on and on.
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