AI Applications & Use Cases

The AI techniques are applied across the following major industries to make our lives easy and comfortable −

Healthcare

AI in Healthcare is used to simplify the lives of patients, doctors, and hospital management by performing tasks that were once done manually by humans, but in less time and cost.

It is used in a number of tasks, that include drug discovery, finding new links between genetic codes, surgery-assisting robots, automating administrative tasks, and providing personalized treatment.

For example, initially radiologists would manually analyze X-Rays, CT Scans, and MRI's to identify the signs for conditions like tumors or fractures. This process was time-consuming and the relevance depends on the radiologist's experience. With the integration of AI, certain algorithms help radiologists to quickly analyze images and highlight the areas of concern with great accuracy and faster than humans.

Finance

AI in Finance enables financial services organizations to better understand markets, customers, analyze and learn digital journeys.

It helps gain insights for performance measurement, predictions and forecasting, real-time calculations, customer servicing, and intelligent data retrieval.

For example, initially credit assessments were done manually, which involved extensive paperwork and human analysis. With the integration of AI algorithms, large amounts of data are analyzed quickly, automating the credit assessment process.

Automotive

AI in Automotive Industry is used to streamline operations and improve overall vehicle performance. Some of the applications of AI in this industry range from autonomous vehicles to advanced safety systems.

For example, Quality checks were initially conducted by workers through visual inspections of vehicles, which was time-consuming and often not reliable. With the integration of AI-powered vision systems, it is easy to find defects with high precision and reduced costs.

E-Commerce

AI in E-Commerce is quite impactful in various tasks like personalized product recommendations, chatbots and virtual assistants, fraud detection and prevention, inventory management, and dynamic pricing.

For example, customer support initially relied on human agents, which caused limited availability. After integrating AI-based Chatbots, the tasks of answering queries and resolving issues became quite easy as they provide instant customer support.

Agriculture

AI in Agriculture allows systems to make weather predictions, monitor agricultural sustainability, and assess farms to identify diseases or pests using data like temperature, precipitation, wind speed, and sun radiation.

For example, initially farmers depended on manual inspection to identify issues in crops like pests and diseases. Furthermore, with the integration of AI-based monitoring tools such as drones and satellites are used to monitor crop health in real-time.

Human Resources

AI in Human Resources allows organizations to automate time-consuming HR tasks like resume screening and employee engagement. Additionally, AI also recommends targeted training based on individual job performance metrics.

For example, initially HR professionals manually reviewed hundreds of resumes, which is time-consuming and leads to human bias. With the integration of automated resume screening, AI algorithms automatically screen resumes and filter the candidates based on required skills.

Law

AI in Law assists in document review, discovery, and drafting contracts. Additionally, it also optimizes legal research by gathering information on relevant case law, assessing case strategies, and scheduling court calendaring.

For example, earlier lawyers spent so much time reading documents to identify relevant information, which often led to human error or oversight. With the integration of AI, the task of document review and drafting became easy.

Gaming

AI in Gaming allows you to create interactive experiences and bring character to life with abilities. Additionally, complex algorithms assist with simulation-based training by generating virtual scenarios.

For example, game difficulty was set at a fixed level, often forcing users to choose either too easy or too hard with no dynamic adjustments. With the integration of AI, developers can analyze player performance and adjust the difficulty of the game in real-time, this will ensure tailored challenges that keep players engaged.

Education

AI in Education can assist students with personalized learning experiences on analyzing their strengths and weaknesses.

For example, teachers often offer the lesson at the same pace irrespective of the students capability and learning pace. With the integration of AI-driven platforms , it is easy to assess individual student performance and provide content based on each student's need.

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 wide range of functions like voice interaction, task automation, information retrieval, smart home control, and entertainment.

Predictive Analytics

Predictive Analytics includes 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 Tesla 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 automated customer support which can clear inquiry and issues raised by 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 it accurately predicted 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 a 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, NASA Mars rovers 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.

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.