5 examples of artificial intelligence in everyday life

5 examples of artificial intelligence in everyday life

It’s official, it may not be omniscient but with each passing day, it becomes more omnipresent. See below, 5 examples of artificial intelligence in everyday life and how sometimes we may not remember its participation, but surely in some way its presence is marked in every act we practice. Life isn’t Cyberpunk 2077 yet, but AI help has turned into a necessity.

Examples of artificial intelligence

1. Organization of information

It could be knowledge organization, but for that, it should be assumed that everything on the internet is useful information, despite recognizing that misinformation is present. Yes, I’m talking about Google. The company is considered AI-first, that is, with all products relying on a machine learning process.

Within the wide scope of solutions offered by the technology giant, we can identify:

  • Google Photos: Searching for specific references such as “hug” or “dog” makes the tool recognize, through AI, the images with the elements before returning the search result;
  • Gmail: the spam and harmful message filter is also expanded and improved by machine learning present in artificial intelligence;
  • Google translator: the AI ​​system has been improved with neural networks (which resemble the human brain), and this has greatly improved the response to the tool’s translations, today the translation resembles less of a human in the bronze age (origin of writing) organizing words ;
  • RankBrain: the deep learning-based algorithm that improves the ranking of links by relevance and quality, a big step in trying to isolate sources of misinformation from searches;
  • Android speech recognition: in theory, it should be considered machine learning because it recognizes the nuances of the voices that use them, and remember how many times we start searches and functions without intention.

The types of artificial intelligence

2. Virtual assistants and chatbots

AlexaSiri, and Google Assistance are prime examples of virtual assistance, while automated bots that answer customer questions are examples of AI-based chatbots that work at their best.

AI techniques are used in chatbots to further automate customer support and hassle-free assistance system. The tool can transform the business with multiple benefits, keeping the direct relationship with the customer more intact, although there are bad examples, in most cases it is efficient.

Virtual assistants are becoming our first source of research
Virtual assistants are becoming our first source of research (Image: Lazar Gugleta/Unsplash)

3. Consumption and trade

In the consumer area, examples of artificial intelligence are more effective at different levels. Its main use is in automated warehousing and supply chain management which reduces manpower.

They help inventory companies to manage a huge amount of products by offering an adequate management and supply system, with lower costs.

The AI-powered information and data management system are not only bringing benefits, but machine learning is improving customers’ online shopping experience.

This technology is also providing customer insights for companies that use sentiment analysis — consumer behavior — to understand their “moments” and offer them better products and services to gain more market share in the industry.

4. Digital security

AI-powered deep learning should be able to solve many challengesThere are technologies to properly train a system for self-learning, gathering data continuously and independently of all the company’s information systems.

This data is analyzed and used to perform pattern correlation on millions to billions of signals relevant to attacks on the enterprise and individual users.

Key operations are inventory of active threats, updating trends for global or specific threats, identifying gaps, speed of response to attacks, and the ability to explain situations to humans.

5. Agriculture

I keep that title, but the purpose of agriculture should be to create more food for an ever-increasing population. Despite knowing that this look is a fantasy, I recognize that the focus of the area is no longer survival, just commerce.

In the agricultural sector, autonomous tractors and AI-based drone monitoring are used to increase productivity and crop yields on farms. Robots and automated machines are also used to monitor the health conditions of crops.

AI-based drones monitor crops
AI-based drones monitor crops (Image: Jeshootscom/Pexels)

Artificial intelligence can help agriculture increase crop productivity with better climate and plant health monitoring systems while making the entire process hassle-free — less manpower. The data collected serves to further train these models to work in agricultural or agriculture-related fields.

These are examples of how artificial intelligence is present in everyday life. Overall, everyone agrees that the benefits outweigh the implied threats, but the debate is always open.

With information: MediumBalbix.


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