AI (Artificial Intelligence) has become part of the society inconspicuously and is improving efficiency and conveniently through personalization. Here are some top applications of AI that we encounter almost daily:
Recommendation Systems
Navigation and Maps
Social Media Algorithms
Buying Products and Services over the Internet
Finance and Banking
Examples: These are few of the most popular voice assistants which include Alexa, Google Assistant and Siri.
How it Works: Speech recognition most commonly employed AI virtual assistants utilize natural language processing to interpret the voice directions and feedback. Some of the ways in which they are useful are making alarms, commanding and operating the smart devices, searching for information, and playing music and even handling duties.
Impact: Virtual assistants give comfort, add value by doing some chores without your direct intervention or even physical effort.
Examples: Social media outlets like Netflix, Youtube, Spotify, Amazon and other.
How it Works: Users’ behavior, choices and past actions are programmed to be studied by AI algorithms and comes up with products, show, music or video options. This kind of personalization is done through – Collaborative filtering – Content filtering – Hybrid technique.
Impact: Recommendations improve the user experience by shortening the time required in order to find desirable content or products.
Examples: Google Maps, Apple Maps.
How it Works: Currently, most AI systems use real-time traffic data, roads’ condition, user input, and past data to give the best route, time to complete the journey, and available detours in the event of congestion.
Impact: Aids in the time saving process, trip planning, and allows users to avoid traffic thereby improving ones overall commute experience.
Examples: Offline communities: FaceBook, Instagram, twitter, linkedIn, tiktok.
How it Works: AI uses the user’s activities, such as likes, shared items, and messages to predict which accounts might interest a user, suggest friends or accounts and to deliver ads. It also drives face recognition, tagging abilities and content moderation functionalities.
Impact: The direct result of this approach is that feeds enhance engagement because the content users are exposed to be one that they would enjoy – all because of artificial intelligence.
Examples: Amazon, Walmart, eBay.
How it Works: AI improves the recommendations during the search, anticipates purchasing patterns, suggests products customers might be interested in, and provides services using chatbots. Product images allow consumers to undertake searches using picture based results instead results of key words.
Impact: Consumers are able to shop smarter and filter through products, picking those that are most suitable to them once an AI system is in place.
Examples: Fraud detection in financial transaction by PayPal, Robo-advisors, prediction of credit score by the banks.
How it Works: AI identifies any strange activity regarding every transaction to determine fraud, helps in evaluating loan applicants, manages customer care services, and gives financial planning from the customer’s spending habits. Some of the things people use robo-advisors for include, analyzing of investment portfolios and providing suggestions for changes to be made.
Impact: AI enhances efficiency and safety of peoples’ money by minimizing risks of fraud and accidents, and simplification of customers’ operations.
Examples: Smartwatches (Fitbit, Apple), diagnostic apps, checkers.
How it Works: Machine learning in healthcare is used in diagnosing, determining the treatment and can even help in identification of disease. Wearable fitness devices leverages AI to track motion, pulse rate, and other physiological parameters in order to provide information on fitness.
Impact: The small scale applications of AI enhance health monitoring, proper diagnosing of diseases and Prevention of diseases as well as setting proper fitness regimes for individuals.
Examples: Facial recognition doorbell security camera, Ring, Google Nest cameras.
How it Works: Facial recognition and object identification, knowing the likelihood of an unfamiliar occurrence are all possible through the cameras enabled with AI technology. Smart home cameras alert people to such issues.
Impact: They afford homeowners security by using efficient alerts and make the community secure by offering surveillance in common places.
Examples: Gmail, Outlook.
How it Works: Spam emails inboxes are detected through artificial intelligence approaches based on subject lines, content, and the behavior of senders that allow the delivery of the genuine emails to inbox.
Impact: Eliminates unnecessary clutter and improves email instructions so that users deal with communications more efficiently.
Self-Service Techniques: Customer Service Communication Technologies
Examples: Mobile applications with online buying capability, financial institutions, telecommunication firms.
How it Works: NLP renders help understanding customer’s query, responding to it and responding to their problems with the help of AI-based chatbots. Modern chatbots are close to talking to a person and can answer specific questions.
Impact: negative effects include: It enhances customer services by decreasing the time taken to respond to customers’ complaints, offering services all through the extend of 24hours.
Examples: Tesla’s self-driving, Uber self-driving technology.
How it Works: To comprehend, navigate and decide on what to do on the road self-drive cars employ the use of AI, computer vision and data sensors.
Impact: AI in transportation is designed to make transport safer, free traffic accidents, and offer relevant means of transport.
Examples: Hearing Voices: google translate, Microsoft Translator, Apple’s voice-to-text.
How it Works: The natural language interfaces work in a manner that makes it possible to translate spoken language to text or interpret one language in real time with another.
Impact: Enhances cross over issues of language so that information gets to reach out to a global populace.
AI goes on to impact everyday life, making it easier and efficient and also making it personalized intertwined to every activity. An increase in the availability, reliability, and dependability has led to a breathtaking array of its uses, which applies across the social spectrum of a diverse and complex society.
It appears most especially when it comes to the analytical and authoritarian nature imprinting itself with rhythms presents unique applicability. That is, only when you understand all the algorithms above can you design smart endeavors for other actualistic applications mentioned earlier. These algorithms will always help the finance, healthcare, retail & technology sectors and reach the best raw potential of data and turn insight into outcomes.
Indian Institute of Embedded Systems – IIES