Question - What are the Examples of AI in real life?
Answer -
Robo-readers for Grading:
Many schools, colleges, and institutions are now using AI applications to grade essay questions and assignments on Massive Open Online Courses(MOOCs). In the era of technology, where education is rapidly shifting towards online learning, MOOCs have become a new norm of education. Thousands of assignments are and essay questions are submitted on these platforms on the daily basis, and grading them by hand is next to impossible.
Robo-readers are used to grade essay questions and assignments based on certain parameters acquired from huge data sets. Thousands of hand-scored essays were fed into the deep Neural Networks of these AI systems to pick up the features of good writing assignments. So, the AI system uses previous results to evaluate the present data.
Online Recommendation Systems
Online recommendations Systems study customer behavior by analyzing their keywords, websites, and the content they watch on the internet. From e-commerce to Social Media websites, everyone is using these recommendation systems to provide a better customer experience.
There are two ways to produce a recommendation list for a customer, collaborative and content-based filtering. In collaborative filtering, the system analyzes the past decisions made by the customer and suggests items that he/she might find interesting. Whereas, content-based filtering finds discrete characteristics of the product or service and suggests similar products and deals that might excite the user. The same process goes for social media apps and other websites.
Navigation and Travel
Google Maps, GPS, and Autopilot on Airplanes are some of the best examples of AI in Navigation and travel. Machine Learning algorithms like Dijkstra’s algorithm are used to find the shortest possible route between two points on the map. However, certain factors are also taken into account including traffic and road blockage to find an optimal route.
Fraud Detection
Machine Learning models process large amounts of banking data and check if there is any suspicious activity or anomalies in the customer transactions. AI applications proved to be more effective than humans in recognizing fraud patterns as they were trained with historical data with millions of transactions.
Autonomous Vehicles
Human error is responsible for more than 90% of accidents happening on the road every year. A technical failure in a vehicle, Roads, and other factors has little contribution to fatal accidents. Autonomous vehicles can reduce these fatal accidents by 90%. Although Self-driving systems require a person to supervise the action and take control of the vehicle in case of emergency, they prove to be very effective when driving on an open highway or parking the vehicle. Also, advancement in technology will further improve the ability to drive in complex situations using high-end AI models and sensors like LIDAR.