- Artificial Intelligence Tutorial
- AI - Home
- AI - Overview
- AI - History & Evolution
- AI - Types
- AI - Terminology
- AI - Tools & Frameworks
- AI - Applications
- AI - Real Life Examples
- AI - Ethics & Bias
- AI - Challenges
- Branches in AI
- AI - Research Areas
- AI - Machine Learning
- AI - Natural Language Processing
- AI - Computer Vision
- AI - Robotics
- AI - Fuzzy Logic Systems
- AI - Neural Networks
- AI - Evolutionary Computation
- AI - Swarm Intelligence
- AI - Cognitive Computing
- Intelligent Systems in AI
- AI - Intelligent Systems
- AI - Components of Intelligent Systems
- AI - Types of Intelligent Systems
- Agents & Environment
- AI - Agents and Environments
- Problem Solving in AI
- AI - Popular Search Algorithms
- AI - Constraint Satisfaction
- AI - Constraint Satisfaction Problem
- AI - Formal Representation of CSPs
- AI - Types of CSPs
- AI - Methods for Solving CSPs
- AI - Real-World Examples of CSPs
- Knowledge in AI
- AI - Knowledge Based Agent
- AI - Knowledge Representation
- AI - Knowledge Representation Techniques
- AI - Propositional Logic
- AI - Rules of Inference
- AI - First-order Logic
- AI - Inference Rules in First Order Logic
- AI - Knowledge Engineering in FOL
- AI - Unification in First Order Logic (FOL)
- AI - Resolution in First Order Logic (FOL)
- AI - Forward Chaining and backward chaining
- AI - Backward Chaining vs Forward Chaining
- Expert Systems in AI
- AI - Expert Systems
- AI - Applications of Expert Systems
- AI - Advantages & Limitations of Expert Systems
- AI - Applications
- AI - Predictive Analytics
- AI - Personalized Customer Experiences
- AI - Manufacturing Industry
- AI - Healthcare Breakthroughs
- AI - Decision Making
- AI - Business
- AI - Banking
- AI - Autonomous Vehicles
- AI - Automotive Industry
- AI - Data Analytics
- AI - Marketing
Artificial Intelligence - Examples
Artificial Intelligence is a technology that we interact knowingly and unknowingly every single day. AI has only been advancing and growing through the years reaching out to easy many tasks for people, lets dive into some of the real-life examples −
Virtual Assistants
Siri, Google Assistant, and Alexa are some of the most common voice assistants that help to perform tasks like a personal assistant. They usually take the voice command from the user as input and perform that particular task. Some of the tasks include setting reminders, playing music, and answering questions.
These virtual assistants are designed to facilitate a wie range of functions like voice interaction, task automation, information retrieval, smart home control, and entertainment. With benefits comes the challenges of integrating voice assistants that include privacy concerns, accuracy, limited contextual understanding, dependence on internet connectivity, and integration complications.
Predictive Analytics
Predictive Analytics include analyzing the data to predict the future. These AI systems are widely used in many industries like healthcare to analyze patient data to predict potential health issues and recommend preventive measures, banking to identify vulnerabilities, and marketing for customer segmentation.
Autonomous Vehicles
Companies like Telsa and Waymo designed self-driving cars with premium safety and navigation using AI. These self-driving cars do not require human intervention, where they understand the surroundings, navigate through the obstacles and reach the destination as set by the user.
Chatbots
The AI-algorithms is almost used by all the organizations providing a service or product like Zomato, H&M, Amazon, and many more. This is basically a automated customer support which can clear inquiry and issues raised my users. This tool improves the ease of solving an issue and user engagement.
Most companies opt for this as it is cost efficient, provides instant support, has the capability of multi-tasking, and 24/7 availability.
Recommendation Systems
Ever pondered over which movie to watch on Netflix, and wondered how does it accurately predict what movie you would enjoy? Well, thanks to recommendation systems.
A recommendation system is an artificial intelligence algorithm that uses big data to suggest or recommend products to consumers. These are based on various criteria like past purchases, search history, demographic information, and other factors.
Facial Recognition
Facial recognition uses AI to identify person which is especially used to unlock mobile phones. It uses a combination of techniques including Deep learning, Computer Vision, and Image processing to detect the face and to recognize the specific facial features. This is a uniquely secure way to access your personal information. Other than unlocking phones, airports and high-security institutions use facial recognition to validate your identity.
Robotics
Robots are mechanical humans which handle repetitive tasks. Though robots seem futuristic, in reality we have many existing in the world. For example, Mars rovers NASA are programmed to explore, gather samples and send transmissions back to earth to provide data from Mars which an astronaut cannot.
Navigation
Other than autonomous vehicles, there are many other tasks in transportation and navigation like traffic management systems that take real-time data about the road, weather, and traffic conditions to predict traffic flows and congestion, Direction apps such as Google Maps, and Apple Maps use location data collected from users to determine traffic., and Rideshare apps uses AI to predict time of arrival, road conditions, and set's fare.
Search Engines
Search engine algorithms use AI to refine and show better results without the intervention of programmers. You can find this on Google if you search for a question. This algorithm gathers data on what people search the most and uses it to auto-complete answers when you type in the search bar, and shows two more related questions below. Some of the most popular search engines include Google, Yahoo, and Bing.