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 your participation, but surely somehow your presence is marked in every act we practice. Life is not yet a Cyberpunk 2077, but AI help has turned into a necessity.
1. Organization of information
It could be the organization of knowledge, 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 having a machine learning process.
Within the wide scope of solutions offered by the technology giant, we can identify:
- Google photos: searching for specific references like “hug” or “dog” makes the tool recognize through the AI the images with the elements before returning the search result;
- Gmail : the spam and harmful messagesfilteris also expanded and improved by machine learning present in artificial intelligences;
- Google translator: the AI system has been improved with neural networks (which resemble the human brain), this has greatly improved the answer about the tool’s translations, today the translation resembles less 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 disinformation from searches;
- Android Voice Recognition : In theory, it should be considered machine learning because it recognizes the nuances of the voices that use them, remember how many times we start searches and functions unintentionally.
2. Virtual assistants and chatbots
Alexa, Siri, 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 the best performance.
AI techniques are used in chatbots to further automate the trouble-free customer support and 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.
3. Consumption and trade
They help inventory companies to manage the huge amount of products by offering an adequate management and supply system, with lower costs.
Not only is the AI-based information and data management system bringing benefits, but machine learning is improving customers’ online shopping experience.
This technology is also providing customer insights for companies that use sentiment analytics — consumer behaviour — to understand their “moments” and offer them better products and services to gain more market share in the industry.
4. Digital security
Deep learning based on IA should be able to solve many challenges. Technologies exist 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 the millions to billions of signals relevant to attacks on the enterprise and individual users.
The key operations are active threat inventory, updating trends for global or specific threats, identifying gaps, speed of response to attacks and the ability to explain situations to humans.
I keep that title, but the aim of agriculture should be to create more food for an ever-growing 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 plantations.
Artificial intelligence can help agriculture increase crop yields with better climate and plant health monitoring systems while making the entire process hassle-free — less labour. 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.