Artificial Intelligence Real Life Examples

Real-Life Examples of Artificial Intelligence: Everyday AI in Action

 

Artificial Intelligence Real Life Examples

Artificial Intelligence is a technology we engage with both consciously and unconsciously every day. Over the years, AI has been continuously evolving and simplifying many tasks for humans. 

Let's explore some real-life examples −

Virtual Assistants


Siri, Google Assistant, and Alexa are among the most popular voice assistants that function like personal assistance. They typically receive voice commands from users and execute specific tasks. Examples of these tasks include setting reminders, playing music, and providing answers to questions.

These virtual assistants are created to support a wide range of functions such as voice interaction, task automation, information retrieval, smart home management, and entertainment. However, along with their advantages, there are challenges in integrating voice assistants, including privacy issues, accuracy, limited understanding of context, reliance on internet connectivity, and difficulties in integration.

Predictive Analytics


Predictive Analytics involves examining data to predict future events. These AI systems are extensively utilized across various sectors, such as healthcare, where they analyze patient information to predict potential health problems and suggest preventive actions; in banking, to detect weaknesses; and in marketing, for customer division.

Autonomous Vehicles


Companies like Tesla and Waymo have developed self-driving cars that prioritize safety and navigation through AI technology. These autonomous vehicles operate without human input, as they perceive their environment, navigate obstacles, and arrive at the destination set by the user. 

 Chatbots


AI algorithms are now utilized by nearly all organizations that offer services or products, such as Zomato, H&M, Amazon, and many others. This technology serves as automated customer support, addressing inquiries and issues raised by users. It enhances the ease of resolving problems and boosts user engagement.

Many companies choose this option because it is cost-effective, offers immediate support, can handle multiple tasks, and is available 24/7.

Recommendation Systems


Have you ever thought about which movie to watch on Netflix and wondered how it knows what you might like? This is all thanks to recommendation systems.


A recommendation system is an AI algorithm that support big data to suggest products to consumers. These suggestions are based on various factors, including past purchases, search history, demographic details, and more.

Facial Recognition


Facial recognition technology employs AI to identify individuals, particularly for unlocking mobile phones. It combines techniques such as deep learning, computer vision, and image processing to detect faces and recognize specific facial features. This method provides a uniquely secure way to access personal information. Besides unlocking phones, airports and high-security facilities use facial recognition to verify identities.

Robotics


Robots are mechanical beings designed to perform repetitive tasks. While they may seem futuristic, many already exist in our world. For example, NASA's Mars rovers are programmed to explore, collect samples, and send data back to Earth, providing information from Mars that astronauts cannot gather. 

Navigation


In addition to self-driving cars, there are various other functions in transportation and navigation, such as traffic management systems that utilize real-time information about the road, weather, and traffic conditions to forecast traffic patterns and congestion. Navigation apps like Google Maps and Apple Maps rely on user location data to assess traffic. Rideshare applications employ AI to estimate arrival times, evaluate road conditions, and determine fares.

Search Engines


Search engine algorithms support AI to enhance and present improved results without needing programmer input. This is evident on Google when you pose a question. The algorithm collects data on popular search queries and uses it to auto-complete responses as you type in the search bar, also displaying two additional related questions below. Some of the leading search engines are Google, Yahoo, and Bing.