The newest digital technologies are not only modern devices in your pockets or offices; they also include software. Programs and apps for smartphones and PCs are improving every day, becoming more convenient, intuitive and visually attractive. However, these are not the only changes — they are also becoming more personalised and autonomous.
Artificial intelligence is built into many programs and used in numerous areas. It can automate routine, time-consuming tasks and analyse huge amounts of data to personalise products, services, and experiences. At Grapherex, we decided to show you that AI is something you likely encounter every day, even if you are not into IT or coding.
Here are some of the most common examples of how we may use AI in daily life: personal assistants, healthcare, autonomous vehicles, smart home devices and much more. Let’s dive into it.
Today, people have developed new programs based on AI algorithms that can automatically make appointments, play music, send reminders, control smart devices, respond to letters using natural language and even make regular payments. For businesses, such assistants are important since they provide information promptly, improve the efficiency of service and technical support, and boost user experience and customer satisfaction.
A digital assistant, such as a chatbot or voice assistant, is a system for automating interaction with a user. It employs an interactive format. Personal assistants like Siri, Alexa and Google Assistant are integrated into smartphones, laptops and smart speakers. Most of them can even talk to you, understand and respond to your questions or find suitable answers on the web.
Social Media Content Adjustment
AI social monitoring and social listening tools can search and filter various interactions taking place on social networks, based on keywords, hashtags, location and language. The reasons why AI algorithms collect metadata about users and share it with social media platforms are simple:
- Social networks can only stay relevant if they are aware of the needs, wants and choices of users from multiple geographical locations.
- Social media networks need to monetise this information when they share their platforms with advertisers and marketers.
AI helps examine user preferences and behaviour patterns, suggest relevant materials and customise the user experience. With AI, Instagram recommends posts and stories, and TikTok chooses videos to show each particular user. For companies, integrating AI into social media helps gain a competitive advantage when launching marketing campaigns.
From the user’s perspective, we get a feed with content that interests us specifically. Moreover, we receive data that can be validated and trusted, as bogus news, hate speech and other harmful content are detected and eliminated thanks to AI systems. Meta already uses AI to remove fake news.
AI can automate routine processes, including classifying queries by topic, finding relevant answers to frequently asked questions, comparing cases and learning to do everything that a support employee does.
Robo-advisors, consultants, question-and-answer chats on websites, technical support — all this boils down to the fact that someone or something must answer questions on behalf of the company. Mechanisms can do this faster and more cheaply than humans. Powered by AI, assistants and chatbots offer 24/7 customer service.
Thanks to advanced natural language processing, AI comprehends questions and delivers relevant responses.
Companies like H&M, IBM, Uber, and Sephora use AI to provide customer support.
AI in Healthcare
AI and healthcare are close partners, as the former is a remarkable tool for analysing health-related data. Apps with AI algorithms help improve patient monitoring, medication research and medical imaging. Imagine a doctor who was taught on a superlarge medical database – they would certainly know answers to common questions and can suggest universally accepted recommendations.
AI reshapes the way medical workers diagnose, treat and monitor patients. The process becomes easier and faster. For example, Merative uses AI to interpret medical images and help doctors in making diagnoses. The Ada app uses artificial intelligence to help users identify symptoms and contact medical professionals.
AI in E-commerce
In e-commerce, people use AI to make quick decisions, automate and optimise business processes, and drive better business outcomes. It helps make significant improvements in search relevance, but even more importantly, in the conversion rates of a search.
Algorithms provide customers with product recommendations based on their queries and browsing histories while they shop on e-commerce sites, such as Amazon. As a result, platforms get boosted sales, and clients have a higher level of satisfaction.
Many believe that AI will change online shopping. AI and machine learning enable deep personalisation techniques to customise content and create more targeted marketing and advertising campaigns. Moreover, it is used in customer segmentation, logistics, and sales and demand forecasting.
The idea that it’s possible to create machines that can think and act for themselves is not new. But today, self-driving cars, trucks and buses are one of the biggest technological advancements. Detection algorithms collect data, analyse objects and make decisions while driving. Autonomous vehicles can predict a potential threat and avert it.
Self-driving cars map routes and drive them carefully, with fewer car collisions. For instance, Tesla cars can navigate roads, highways and parking lots. Additionally, they are eco-friendlier compared to regular vehicles and offer extra features like personal assistants, radar detectors and cameras.
Today, autonomous vehicles still have many restrictions to overcome. For example, they don’t drive well in foggy or rainy weather, cannot engage in complex social interactions with other drivers or pedestrians and are sometimes simply unavailable in certain regions.
Smart Home Devices
Smart homes are gaining popularity, and many devices now have Wi-Fi access and are controlled by voice commands or mobile apps. Thermostats, lighting and security systems, smart doors and locks use AI to learn user preferences and adjust settings. For example, thanks to AI, Philips Hue can adjust lighting based on personal preferences and ambient light levels.
Machine learning algorithms are used to analyse user data and give personalised recommendations, such as suggesting music, movies, or recipes, based on the user’s past behaviour. Additionally, the integration of AI into smart home devices enhances home security because some devices detect and alert users of potential threats, including smoke or carbon monoxide.
However, there are also concerns about privacy and security. If AI-powered smart home technologies are attacked, cybersecurity risks appear. It will require a lot of work to protect sensitive user data.