“From the mundane, like digitizing documents, all the way to the incredible, like saving lives and discovering new drugs—the surprise is the breadth and depth that this technology can bring us.”
– Fei-Fei Li, Founding Director of the Stanford University Institute for Human-Centered Artificial Intelligence
Artificial intelligence (AI) is growing ubiquitous in our day-to-day lives. With approx 500,000 automatic cars currently running in the U.S., Tesla plans to double the number of cars in 2025.
AI is the simulation of human intelligence in computers and machines to generate, classify, and perform tasks of human capabilities and beyond. These tasks include summarizing documents, data analysis, and applications like developing robotic systems for recycling sites. Its benefits such as problem-solving, automating repetitive tasks, and streamlining business processes, are revolutionizing how businesses operate today.
In this blog, we’ll learn how AI presents an opportunity to boost efficiency in everyday life and in industries like eCommerce, financial services, and healthcare, among others.
Smart Assistants
As voice search is becoming an important part of our daily lives, developers and scientists are innovating with natural language processing (NLP), multilingual schema markup, and automatic speech recognition (ASR) to build voice assistants that capture voice search traffic across languages and regions.
The global intelligent virtual assistant market held a market share of USD 3.24 billion in 2023 and its market size is estimated to propel at an astonishingly fast rate. As seen in the below image, researchers are using various approaches to develop smart personal assistants with adaptive learning and contextual awareness.
Smart AI examples in everyday life are Google Assistant, Amazon Alexa, and Apple Siri. These assistants produce 3D AI avatars that look like humans and offer a human connection to virtual customer support interactions.
Financial Services
How can you use AI in your everyday life for financial services? Let’s find out:
- Risk Management: Based on customer segmentation, financial institutions can safeguard customer data by using ML to track user activity, monitor banking transactions, and pinpoint unusual trends to bring them to the attention of customers & banking professionals.
- Document Processing: Banks can derive structured and unstructured data from customer data and analyze data points for cross-sell or upsell opportunities and loan servicing.
- Credit Decisions: Artificial intelligence can accurately assess potential customers and businesses for investment opportunity discovery and credit decision-making processes based on their smartphone data.
Navigation and Travel
Google Maps, built with GPS (Global Positioning System) technology, has become indispensable in modern navigation. This technology, powered by AI algorithms and a network of satellites, provides users with precise positioning and navigation data.
Other examples of artificial intelligence in everyday life are:
- AI Assistants for Travel Booking: Intelligent chatbots are now replacing travel agencies to search for hotels or book flights. These AI chatbots are employed on social media sites like WhatsApp and Facebook to provide users with a personalized booking experience.
- Air Traffic Management: AI-driven algorithms are integrated into air traffic management systems to predict air traffic congestion, fine-tune flight schedules, and improve safety in aviation.
- Smart Robots: Connie, the Hilton robot concierge, uses NLP and the domain knowledge of the IBM Watson AI program to answer human queries about tourist attractions and the hotel’s amenities.
- Autonomous Vehicles: AI-enabled self-driving cars by companies like Uber, Tesla, and Waymo are integrated with AI algorithms and advanced sensors to reduce accidents, enhance transportation efficiency, and transform urban mobility.
E-Commerce and Recommendations
AI algorithms on search engines help to periodically classify product searches and recommend products as per customer interest on eCommerce websites. Google’s former Chief Decision Scientist and a sought-after AI advisor Cassie Kozyrkov believes that data scientists should work in collaboration with decision-makers, data engineers, and domain experts to adopt a multidisciplinary approach that solves user & business challenges.
Some of the AI examples in everyday life of an online shopper include:
- Hyper-personalized Recommendations: Based on the users’ frequency of visiting the website, the individual is presented with an enhanced visual search of products and real time price revisions guided by product wishlists.
- Personalized Marketing: E-commerce operators have rich customer data that helps with a tailored user experience across multiple platforms and perform A/B testing of marketing campaigns.
- Customer Service Chatbots: AI-run chatbots help address repetitive customer queries like order and refund status. They provide instant responses to technical queries.
- Customer Segmentation: E-commerce websites assist with personalized product recommendations based on previous shopping activity and create customer profiles to boost sales.
Healthcare Applications
The global AI in healthcare market is forecasted to cross USD 148.4 billion by 2029 and is predicted to grow at an exponential CAGR of 48.1% during 2024 to 2029. Like in the image shown below, North America continues to dominate the largest market share from 2024 to 2029.
Source: Markets and Markets 2024
AI examples in everyday life for healthcare are:
- Health Monitoring: AI-based devices help to detect irregularities in heart function and notify doctors of potential risks. These systems deploy real-time heart monitoring with minimum human involvement.
- Personalized Patient Care: Cloud-based web applications are facilitating personalized treatment plans for patients based on genetics, medical history, and lifestyle patterns.
- Alert Management: Since early intervention helps to improve patient quality of life, AI smart alerts are transforming how doctors respond to patient health changes.
- Predictive Analytics: In today’s highly digitized era, remote care techniques like telehealth apps are growing popular to manage patient health with fewer resources.
Language Translation
Generative AI translation is one of the best AI examples in everyday life. It uses contextual clues, sequence-to-sequence learning, and semantic understanding to deliver natural translations. Let’s look at some tools and applications that provide advanced translations:
- Multi-lingual Support: Tools like Quillbot are gaining popularity for features like versatility in translating words, bridging communication gaps, and helping people learn new languages.
- Voice and Image Translation: The Google Translate tool gives users a better edge with real-time translations across multiple platforms. It also helps users to save frequently used words and phrases to access them on other devices.
- Customized Translation: In addition to real-time translations, the Amazon Translate platform uses deep learning techniques to help businesses frame unique terminology like product or brand names.
- Enterprise-grade Security: The DeepL Translator is a comprehensive solution that empowers businesses to reach global audiences while ensuring data protection and compliance with ISO & GDPR standards.
- Real-time Website Localization: As more and more businesses prefer to have websites in multiple languages, linguists are using AI-powered language translation to make it easy for businesses to simplify file translations and translate content into videos or e-learning materials.
Education
The e-learning and digital education market is growing at an astounding rate due to artificial intelligence. How is AI used in everyday life for educational purposes? Let’s find out:
- AI in Classrooms: The combination of AI and education helps to personalize learning as per student needs and automates administrative tasks like scheduling & grading. In the below image, approximately 60% of educators use AI, particularly young teachers under the age of 26.
Source: Forbes 2024 - Smart Content Creation: AI content creation helps with 2D-3D information visualization, thus overcoming the shortcomings of traditional teaching methods. Edutech companies are creating low-storage study materials that take up less space on a computer, facilitating the entire content for research.
- Data-driven Feedback Systems: To provide enriching educational experiences, developers and researchers use customized data-based feedback systems to increase students’ happiness and identify improvement areas.
- 24×7 Chatbot Assistance: Conversational AI systems closely monitor the learners’ habits for content consumption, offering consistent support to optimize their study time, improve their writing skills, and respond to admission queries.
Workplace Tools
Using AI for work efficiency increases speed and completes tasks with less effort. A few examples of artificial intelligence in everyday life for workplace productivity are:
- Claude: After widely using ChatGPT, users are experimenting with Claude to automate customer support for handling routine inquiries and forwarding complex issues to human support teams.
- Midjourney: This tool broadens the boundaries of imaginative thoughts by generating images out of natural language prompts. It works with Discord to make the platform easily accessible for both commercial and non-commercial users.
- Perplexity: This tool is attracting attention for generating high-quality answers and quoting sources for those answers. It is best used for academic research and professional work to answer product-related questions.
- Runway: Runway ML facilitates seamless text-to-image and text-to-video generation, allowing users to collaborate in real time. Runway Studios is its entertainment and production arm for creating music videos, printed publications, and other media.
- FeedHive: To thrive on social media, users are relying on AI-driven marketing tools like FeedHive, that assist in improving engagement and help in customized post scheduling.
Social Media and Content Personalization
Limitations in traditional content moderation methods, such as manual errors and high costs, are causing AI-powered content regulation. However, AI-driven content moderation is still in its nascent stage.
Content personalization in social media marketing is growing crucial for brands as AI helps to recommend relevant ads that boost conversion rates. AI suggests unique content based on individual preferences, resulting in website visits and clicks with the likelihood of purchases.
Other AI examples in everyday life on social media include facial recognition to tag people on platforms and filter images that violate the platforms’ policy to prevent misinformation.
Home Automation
Besides smart speakers like Alexa and Apple Siri, AI examples in everyday life for home automation include the following:
- Surveillance Systems: Integrating AI, such as computer vision and IoT (Internet of Things) technologies into security systems, like alarm systems, security cameras, and motion sensors, plays a vital role in preventing security threats.
- Energy Efficiency: Intelligent home AI systems gather data about the daily activities of residents and optimize energy consumption for lighting and cooling systems. Other artificial intelligence machines like smart thermostats adjust the room temperature according to the number of residents and detect if anyone is home to reduce unnecessary energy consumption.
- Facial Recognition Technology: This technology is predicted to be used extensively in corporate sectors and residential societies, owing to its ability to use AI to identify individuals based on their facial features.
- Health Monitoring: Smart home devices offer health monitoring to track environmental conditions like humidity and air quality to ensure optimal levels of health and comfort.
- Predictive Analytics for Threats: This type of data analysis is expected to be maximized in home settings, especially in residential areas that have witnessed a rise in burglaries.
How Can AI Implementation Prove Beneficial For Your Business?
In this blog we learnt how is AI used in everyday life for applications in finance, healthcare, home automation, and other industries. It has been found that the younger demographic is more likely to adopt AI in daily activities, in both commercial and non-commercial settings. Moreover, early adopters of AI are expected to seamlessly integrate automated processes in their businesses, be more productive in work environments, and improve output for content creation tasks.
Our AI experts have successfully steered businesses toward better outcomes by leveraging large amounts of data and AI algorithms to develop new products and services. Learn more about our AI & ML services and don’t miss our latest blog on use cases of conversational AI.