It is notorious that currently there are numerous examples of Artificial Intelligence in our daily lives, from facial recognition systems to more complex systems such as content search engines.
Although many cases go unnoticed, it is already a practice widely adopted by the market due to its importance. In this article we'll talk a little more about examples of Artificial Intelligence applied on a daily basis. Ready? Then let's get to learning.
What Is Artificial Intelligence?
Artificial Intelligence (AI) is a technology that allows building "intelligent machines" capable of performing tasks that typically require human intelligence, these machines learn through experience, perceive changes, and adjust to them.
Although AI is an interdisciplinary science with various approaches, advances in Machine Learning and Deep Learning, in particular, are creating a paradigm shift in virtually every sector.
From the development of autonomous cars to the growth of intelligent assistants like Siri and Alexa that are known worldwide; AI is becoming increasingly present in everyday life - and an area where companies from all sectors are investing.
Meet Tess AI, Pareto's AI
Before we explore examples of AI applied in daily life, it is relevant to introduce Tess AIwhich brings together automated solutions to optimize your time. Many of these solutions will be evident in the examples we will discuss throughout the article.
Based on renowned pre-trained models such as GPT-3 turbo and GPT-4 turbo from OpenAI, MidJourney, Dall-E 2, Stable Diffusion, Leonardo.ai, Ada, LIama, and Tess AI's exclusive models, owned by Pareto, the platform is trained on comprehensive datasets.
The process is straightforward, simply providing a subject or idea of what you want to produce, and the AI-based generator will take care of all the remaining steps.
We offer over 200 AI models, all trained and ready to instantly perform a variety of day-to-day tasks in various areas such as Marketing, Sales, Design, Human Resources, Programming, etc. You can create emails, summarize texts, develop job descriptions, plan campaigns, generate images, and much more.
Additionally, you can create and publish your own AIs, exclusive to solving personal and professional problems. These AIs can be kept for private use or shared publicly. Interested? Explore more about Tess AI, the 6th Best AI in the World at G2's Software Awards!
17 Examples of Artificial Intelligence in Everyday Life
After understanding the concept, the importance of AI in automating processes and tasks, with even a leading and efficient platform presented to manage various stages, now explore other practical examples of this technology in action in everyday life.
1. Route Apps
Google Maps is ranked as the top GPS app because it covers a larger extent of the globe than any other competitor, mapping not only over 220 countries but also including hundreds of millions of businesses and locations in its vast cartographic dataset.
The transportation landscape has undergone significant transformations, driven by the introduction of new technologies aiming to enhance passenger experience. In this context, renowned apps such as Google Maps, Waze, and Uber have incorporated AI into their processes.
In this case, Google Maps is recognized for its intuitive interface, offering advanced features including satellite view, and seamless integration with other company services.
Standing out as an advanced AI application, it introduced destination arrival time prediction, becoming essential for various mobility apps by providing real-time information about passenger movement and location.
Additionally, the app suggests more efficient routes based on historical data and even anticipates the crowding of buses, trains, and subways, providing a smarter and more convenient experience for users.
(Source: GIS Geography. 10 GPS Apps for Navigation [Android and iOS]. November 2023)
2. Virtual Assistants
Artificial Intelligence goes far beyond simple task or process optimization; in some cases, it plays a crucial role in collaboration with virtual assistants, such as Siri, Cortana, Alexa, and Google Assistant.
The AI techniques used by these assistants enable dynamic exchange of information and actions. When requesting a specific demand, AI validates the entire interaction history, progressively adapting to provide more accurate and personalized results.
The highlight lies in the growing intelligence of these assistants, enhancing each step of the process. It's no longer necessary to be as specific in commands as it was a few years ago. An example of this is the ability to identify and filter background noises, which previously interfered with voice commands.
In this sense, Siri has a wide variety of use cases, ranging from simple day-to-day tasks to integration with other Apple apps and devices. Some examples of use cases include:
- Device commands;
- Sending messages and calls;
- Navigation and traffic information;
- Music and entertainment control;
- Language translation, etc.
This evolution highlights the ability of virtual assistants to integrate more intelligently and effectively into users' routines, providing an increasingly intuitive and personalized experience.
(Source: Apple. Siri)
3. Email address
Nowadays, many email services like Gmail and Outlook employ AI to detect SPAM messages and prevent inbox overload.
A spam filter uses various rules and algorithms to reduce the amount of unwanted messages, not only avoiding unsolicited advertisements but also preventing credit card fraud and identity theft.
In this context, AI works behind the SPAM filter, analyzing metadata from email marketing to identify specific words or phrases.
Furthermore, AI plays an essential role in optimizing various email-related activities. Here are other practical examples:
Personalization: AI in email adapts content based on the customer's interaction history, preferences, and behavior. This results in more relevant and personalized messages for each recipient;
A/B Testing: with the help of AI, A/B tests are enhanced, allowing automated analysis of results. Algorithms identify more effective variations, continuously adjusting sending strategies to maximize engagement and conversion rates;
Interactive Content: AI is essential in creating interactive email marketing. Based on data such as browsing behavior, purchase history, and preferences, AI automatically customizes email content, making them more engaging and tailored to the individual needs of each recipient.
4. Search Engines
Google stands out as one of the prime examples of AI application in search engines. This technology enables faster search results and the ability to recognize synonyms, related topics, and even sound similarities between letters.
As people use Google, AI learns about their search intentions and behaviors, providing continuous improvement for users.
In recent years, Google has incorporated AI elements to enhance website rankings and, more recently, started using AI to recommend specific parts of videos based on search queries.
A notable example is RankBrain, a key piece in Google's AI arsenal. Here's why:
Understanding Complex Queries: RankBrain excels in interpreting complex queries in Google's search engines, going beyond exact keyword matching. Its emphasis lies in understanding the underlying meaning of queries, providing more relevant answers.
Machine Learning and Data Analysis: Equipped with advanced techniques, RankBrain analyzes large volumes of search data. Through this process, the system learns patterns and enhances its ability to interpret new queries and provide results more tailored to users' needs.
Continuous Adaptation and Integration into the Search Algorithm: RankBrain stands out for its flexibility in dynamically adapting to changes in search trends. It organically integrates into Google's search algorithm, collaborating with other components to improve the accuracy and relevance of results.
(Source: Google Blog. How Artificial Intelligence powers excellent search results. 2022; Prime Web Agency. Google RankBrain)
5. Streaming Platforms
"Streaming" is the instant transmission of data over the internet, including audio, video, and other types of multimedia content.
Streaming platforms like Netflix, Deezer, and Spotify enhance user experience and prolong usage time through personalized recommendation systems.
These companies, notably Netflix, stand out globally by employing AI in various areas to optimize operations and enhance user experience.
It essentially learns from the data provided and then uses its own database to provide content that best meets your expectations. Here's how it works:
Data Analysis for Content Production: by analyzing large datasets of viewing and preference data, Netflix uses AI to make informed decisions about producing new content. This includes casting choices, plots, and genres that are more likely to captivate the audience;
Content Recommendation Personalization: Netflix employs machine learning-based algorithmic technologies to enhance user experience in content recommendation. By analyzing viewing history, individual preferences, and behavior patterns, the platform provides more relevant content suggestions.
(Source: Analytics Insight. Top 10 Ways Netflix is Using Artificial Intelligence in 2022)
6. Facial Recognition
The application of facial recognition ranges from mobile devices to complex systems, where using the face to unlock the system employed, leveraging AI and deep learning in this process.
During setup, the system meticulously scans the user's face, identifying various points as markers to enable facial recognition at different angles.
This enables unlocking devices in various lighting situations and environments while preventing unauthorized access. Let's look at some use cases:
Phone Unlocking with Face: Phone unlocking with facial recognition, like Apple Face ID, is a common practice. During setup, the system scans the face, identifying various points as references to allow recognition of the authorized person.
Face Identification for Access to Places: This case can cover residences/condominiums, airports, companies, events, etc., to provide security, efficiency, and convenience to these sectors.
(Sources: TechTarget. Facial Recognition. December, 2022)
7. The Use of AI in Social Media
Social media has evolved beyond mere interaction platforms; they are now true allies.
A practical example is YouTube, which uses data such as tags and demographic information to suggest personalized content, taking into account not only your profile but also consumption patterns of other users with similar interests.
However, AI benefits not only platforms but also users. Here are some of the positive aspects of integrating this technology into everyday life from both perspectives.
From the User's Perspective:
Example 1: Users benefit from AI to personalize their feeds, receiving suggestions from friends, pages, and ads based on their preferences and interaction history.
Example 2: AI tools are used for quick and efficient content creation, generating captions, hashtags, and visual designs. This automation streamlines the sharing process, making content creation more accessible and dynamic.
From the Platform's Perspective:
Example 1: AI algorithms are employed to automatically identify inappropriate content, such as hate speech and spam. This application contributes to efficient and safe platform moderation, ensuring a more positive environment.
Example 2: Platforms use AI to analyze user behavior patterns, offering personalized suggestions for friends, groups, and posts. This process aims to provide a more engaging experience, increasing conversion chances.
8. Smart Keyboard
Smart keyboards use machine learning in their algorithms to identify language errors, make text correction suggestions, and can be implemented in text applications to adapt to users' communication over time.
Thus, they have become a guide to the user's writing style and predict words and emojis to be used. This has made text messaging faster and more convenient.
A notable example is Gboard, Google's keyboard, which offers an impressive range of functionalities. Here are some of them created from AI:
Voice Typing: AI converts the user's speech into text, allowing for information input without using the keyboard. It uses speech recognition technologies to interpret and transcribe spoken words into written text.
Writing in Multiple Languages: This function relies on natural language processing algorithms. As AI analyzes linguistic patterns and structures, it is able to automatically adapt to the language desired by the user, providing a versatile and multilingual writing experience.
Automatic Correction: AI analyzes the context of the sentence or word sequence and makes automatic corrections to improve grammar, spelling, or text cohesion. This functionality contributes to continuously enhancing the quality of written communication.
(Source: Google Blog. Gboard: the smartest keyboard on Android)
9. Video games
The application of AI in the gaming market has significant potential, not only to reshape the conception of games but also to redefine their very essence.
If these systems prove successful, they have the ability to inaugurate new categories of AI-driven games, providing lasting entertainment, engagement, and retention for players. Below are some recent insights on how AI is shaping a new category of games:
1. Generative Agents: In 2023, researchers from Stanford and Google published a study on the application of generative agents in games like The Sims and SimCity. Using natural language (NLM) and trained with data from social networks, in the future characters will be able to interact as if they were humans speaking, discussing topics such as friendship, relationships, etc.
2. Personalization: Game personalization will become increasingly present with the advancement of AIs. In the case of the RPG game Spellbrush's Arrowmancer, players can create unique anime characters, encompassing both art and combat skills.
3. AI Narrative: The use of language models enables player interaction with an AI narrator. A practical example is Latitude's AI Dungeon, an open-ended text-based adventure game. In this game, the AI takes on the role of dungeon master, allowing players to explore AI-generated universes limitlessly and dynamically.
4. Dynamic World Building: With the use of generative models, games can create worlds and levels automatically and in real-time. A practical example is Valve's Left 4 Dead game, which utilizes an AI Director to dynamically adjust the pace, difficulty, and atmosphere of the game based on players' actions and locations.
5. An AI Copilot for Every Game: AI can also act as support for players. In the case of Microsoft's Minecraft game, the AI copilot is currently in development, using DALL-E and Github Copilot to guide players in asset creation and logic through natural language prompts.
The demand for generative agents, especially in simulation games, is significant, with 61% of game studios expressing interest in experimenting with AI NPCs. It is expected that digital characters will soon become commonplace in our daily social interactions.
(Source: Andreessen Horowitz. The NeverEnding Game: How AI Will Create a New Category of Games. July, 2023)
Examples of Artificial Intelligence in Enterprises
After examining several examples of Artificial Intelligence applied in daily life, we've compiled the main practical examples of this technology being strategically applied in enterprises. Check it out!
10. Image Generation
Artificial Intelligence plays an important role in image generation. This application impacts various sectors such as marketing, graphic design, product development, among others.
This technology provides efficiency by quickly and creatively generating personalized visual content. In this context, Tess AI saves time and resources, highlighting its significant potential in business operations.
With this functionality, you'll have high-quality images generated in seconds. Just input your idea and refine the parameters with simple text commands to create something truly unique.
Enjoy up to 150 free images for experimentation. Register at no cost to access image creation and various other functionalities.
11. User Support
Regarding the examples implemented in user support, it is evident to understand that the most common ones are Chatbots.
Through user interaction with the chat, AI conducts the conversation based on the initially implemented configuration and information. In this regard, it is possible to streamline interaction and scale support.
By implementing Chatbots, companies can free up team time for other activities and still obtain important information from their customers.
Companies are adopting AI as a strategy to stand out in the market. Coca-Cola FEMSA, the largest Coca-Cola franchise in the world, for example, chose to use technology to digitize interaction with store owners, using WhatsApp as a channel.
Through the e-commerce platform Yalo, which offers AI-based solutions, Coca-Cola established an effective connection between its industry and retailers.
This move allowed Coca-Cola to serve over 1.5 million stores via WhatsApp, resulting in a revenue of $1 billion in just one year.
(Source: Yalo. Coca-Cola FEMSA digitizes over 1 million points of sale in Latin America. July, 2023)
12. Banking and Finance
Banks and financial institutions represent exemplary cases in the use of AI to optimize and automate processes. This ranges from credit risk analysis to virtual assistants and financial analytics.
When accessing your bank account over the phone, banks use AI and machine learning to analyze your handwriting. This analysis compares the digital signature with the one registered at the branch, ensuring security in transactions such as check approvals.
These technologies drive operational efficiency by accelerating operations performed by software. The result is faster task execution, reducing waiting times and operational costs.
JPMorgan stands out as a reference in technology and innovation in the banking sector. Its considerable investments in AI and related technologies aim to enhance services and operations.
AI is applied in various areas, from data analysis, market forecasting, and risk management to customer service. The bank also actively participates in the development of emerging technologies such as blockchain and cryptocurrencies.
JPMorgan leads the ranking of AI implementation among the 23 largest banks in North America and Europe. Assessing talent, innovation, leadership in AI strategy and implementation, as well as responsible practices, JPMorgan achieved the highest score, with 65%.
(Source: Insider Intelligence. UK-based fintech Evident creates the first AI Index to track banks' progress in implementation)
13. E-commerce Management
By employing advanced technologies like AI, the challenges faced by e-commerce managers can be overcome innovatively. AI redefines how companies interact with customers, bringing advanced predictions and operational efficiency, as presented in the following examples:
Chatbot in e-commerce: According to Bain & Company, an inspiring example of AI application in e-commerce management is Carrefour's initiative. The company used AI to create a chatbot that guides customers through various shopping tasks, from meal planning to pantry restocking.
Product Recommendations and Search: E-commerce platforms can offer personalized recommendations to consumers based on their interests and preferences, enhancing the user experience and increasing conversion chances.
Scenario Creation for Photos: AI can create scenarios for furniture photos, saving resources that would be spent on lengthy image editing or setting up photo shoots.
14. Marketing
The application of AI in marketing has a broad scope, ranging from campaign optimization and enhancing customer experience to boosting ROI.
According to McKinsey, there is an expected increase of $463 billion in the global economy with the productivity gain provided by the application of AI in marketing. And the impacts on marketing processes are significant. Here are some of them:
Rapid and Efficient Content Creation: generative artificial intelligence enables automated and personalized content generation, ensuring uniformity in tone of voice, writing style, and format. This streamlines the creation process, allowing for the creation of mass emails, marketing messages, and ads for different languages, audiences, and regions.
Better Data Handling: AI analyzes large volumes of data quickly and accurately, providing companies with valuable insights into consumer behavior and enhancing marketing strategies.
SEO Optimization: AI contributes to optimizing content for search engines and creating new blog articles, improving rankings in search results. This increases the company's visibility, generating more organic traffic to the website.
(Source: McKinsey. The economic potential of generative AI: The next productivity frontier. June, 2023)
15. Sales
As AI continues to transform business landscapes, its positive impact on sales also becomes notable.
As highlighted in McKinsey's report, the impacts of AI implementation on sales are significant, with an expected increase of $486 billion in the global economy due to productivity gains from AI application in this sector. Let's delve into these details:
Increase in Sales Probability: AI, through data analysis and customer behaviors, elevates the probability of sales success. By identifying patterns and preferences, AI provides valuable insights empowering sales teams to approach customers more effectively, thereby increasing conversion rates.
Lead Development Enhancement: By providing more accurate information about the customer's readiness stage, AI enables a more personalized and strategic approach in sales interactions. This optimizes the sales cycle, making approaches more assertive and increasing the chances of successful deal closures.
(Source: McKinsey. The economic potential of generative AI: The next productivity frontier. June, 2023)
16. Human Resources
In the application of AI in the human resources sector, the great potential to collect data and identify ideal profiles for specific positions becomes clear, aligning candidates with the desired cultural fit and necessary technical knowledge.
The intersection of candidate behavior information with the skills required for the position is already an example of technology use, helping to identify if the candidate fits the available position and if they can perform positively in the company.
AI also plays an important role in improving organizational climate. An AI software facilitates the analysis of the climate survey, and in addition to interpreting the data obtained, it also generates reports with more specific actions to maintain employee engagement.
In this regard, IBM Watson is recognized as a global leader in machine learning and AI applied to the Human Resources (HR) sector.
The solutions developed by IBM Watson in the HR field use machine learning to identify, hire, and retain the best talents in organizations.
The AI-based recruitment tools offered by IBM Watson assist companies in automating hiring processes, reducing biases, and making data-driven decisions.
(Source: IBM. The business case for AI in HR)
17. Digital Security
In the realm of digital security with AI, implementation often relies on Deep Learning, empowering the system to learn automatically from the provided data.
After the insertion of this data, the process of pattern analysis begins, aiming to prevent attacks, and this cycle remains in loop to optimize the system's accuracy.
In this context, AI can analyze behaviors to create new triggers, thus strengthening security. This is achieved through data collection, which reveals anomalies in access location, password typing, user ID, among other inconsistencies.
Cybereason offers an AI-driven cybersecurity platform to monitor, detect, and analyze threats, providing a comprehensive view of enterprise security.
This allows anticipating risks, including sophisticated cyberattacks, expanding attack surface, data explosion, and growing infrastructure complexity. Cybereason's AI-driven automated detection technology benefits companies of all sizes, simplifying threat identification.
(Source: Cybereason; IBM. Artificial Intelligence Cybersecurity)
Conclusion
As you can see, we are impacted by AI daily, whether using smartphones, browsing the internet, sending emails, or listening to music on streaming platforms, AI is influencing our daily choices.
It is not an exaggeration to predict that technology will continue to evolve and become increasingly essential in all sectors of companies and in virtually every aspect of our daily lives, making our routine more convenient and productive.
