Artificial Intelligence (AI) and Machine Learning (ML)-powered software and technologies are imitating human thought patterns to aid society’s digital transition. AI systems perceive their environment, respond to what they observe, solve problems, and assist with duties to make life easier.
It might be easier to say what parts of our modern society it hasn’t touched. Artificial intelligence robots influence nearly every aspect of our lives to increase efficiencies and complement our human capabilities. Master in artificial intelligence has gained so much value in our daily lives that it’s difficult to picture life without it.
AI is a crucial component of the 4th Industrial Revolution’s disruptive developments. This revolution will undoubtedly challenge our understanding of what it means to be human and may be more revolutionary than any previous industrial revolution.
Here is a list of clean and simple examples of artificial intelligence impacting our daily life.
- Navigation app
Believe it or not, we need artificial intelligence to get to work every day. Navigation apps like Google Maps use AI to analyze the movement speed of traffic. It also receives user-reported events, such as traffic accidents or road construction, to ensure and measure the prediction of how much time it will take to reach your destination.
- Short video and video summary
Summary videos popularized by Netflix quickly replace static video thumbnails in streaming apps and websites. AI is used to summarize thousands of hours of content on a streaming service, to understand video content automatically, and to generate short video summaries.
- 3D photo
3D photography has become an effective way to capture and display pictures. For example, the LucidPix app shows you to capture 3D photos or convert 2D images to 3D photos without using multiple cameras. The advanced artificial intelligence behind LucidPix can infer which parts of the picture have a higher depth level than other parts. Then, with one click, LucidPix adds depth to your photo and transforms it into a life-like 3D image.
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- Face Recognition
Apps like LucidPix, Snapchat, and Facebook have all leveraged AI in facial recognition technology. LucidPix uses facial recognition to detect your face for a “3D face” feature that allows users to capture a selfie and turn it into a 3D photo. Similarly, Snapchat uses AI to recognize your face and applies face filters to your images. On FB, the facial recognition feature is used to identify faces in photos and stories and invite users to tag each other on their Facebook or Instagram friends list.
- Smart Assistant
The smart assistant is the most widely used AI feature, and it comes from smart digital assistants like Siri, Alexa, and Google Assistant. This AI-powered personal assistant can translate voice commands into actions like adding items to a shopping list or calling a friend. Undoubtedly, voice assistants will continue to grow and further enhance their ability to assist us in our daily lives.
- Spam Filter
It may be hard to believe that your email inbox uses AI, but it’s true! One of the essential features of your inbox, the spam filter, is regulated by rules that help keep your inbox risk-free. Over time, spam filters continuously learn from various signals, from the metadata of an email to a specific word or phrase in an email. Gmail itself uses machine learning algorithms to filter 99.9% of spam successfully.
- Media Recommendations
If you’ve ever skimmed through TV shows on Netflix, you’ve probably seen how Netflix instantly shows you other shows you can watch next. YouTube is another platform that, after watching one video, recommends a series of videos you might like next. These digital media services analyze hundreds of records to suggest movies, TV shows, and videos you might want to be based on your previous reactions and media choices.
- Voice Assistants
Spoken User Interfaces (VUI) powered by AI are used by digital streaming assistants like Cortana to process and decipher voice requests. Such apps are now engrossed in AI to rely on voice-speaking commands and access enormous databases stored on cloud storage platforms. These apps get to analyze millions of lines of data collected and work per second to finish tasks and return personalized search engine results.
- Entertainment Streaming Apps
Streaming behemoths like Netflix and Spotify constantly feed data into machine learning algorithms to provide a consistent customer experience.
These streaming apps recommend unique material based on the user’s interactions with various media. These apps employ AI to search through ever-increasing user data to create collections of music, movies, and TV shows personalized to each user’s preferences.
- Personalized marketing
Nearly every brand uses AI-driven technology as personalization solutions based on customer data to boost engagement. According to a recent survey, almost 88 percent of customers believe that more tailored information makes them feel better about a business.
Consumers are more likely to purchase when directed to products via targeted marketing through automated emails and feedback forms.
- Smart Input Keyboards
To give a more user-friendly experience, the latest versions of mobile keyboard apps include the features of auto-correction and language identification.
These apps employ artificial intelligence to quickly correct errors, assist with language change, and predict the next word in a non-intrusive manner. Using the “Random Forest” machine learning method, AI programmers teach these kinds of apps to understand the context of the message being submitted and provide accurate predictions.
- Product Recommendations
E-commerce platforms like Amazon and Flipkart use artificial intelligence in our daily lives to collect information about our shopping habits, age, searches, and interests, so they can personalize your online experience by delivering the best for you. Based on these data, you can see the suggestion on the homepage of any eCommerce website. They make you feel that you have a personal shopping assistant who suggests better products based on your interests. It is not surprising that we repeat the experience over and over again.
Over to you
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