Artificial Intelligence has long since ceased to be a concept present only in science fiction works. Nowadays, especially with the advent of the Industrial Revolution 4.0 , Artificial Intelligence is present in both people’s daily lives and in companies, being responsible, to a greater or lesser extent, for maximizing the chances of success of the most diverse types of enterprises.
If, at the end of the 17th century, the creation and subsequent mass adoption of steam engines enabled exponential growth in the pace of factory production, with the Industrial Revolution 4.0 what we see is the emergence of truly smart factories that combine computer science and quality data to execute problem solutions on a scale and speed that was previously unthinkable.
The many advantages provided by the use of Artificial Intelligence only increase organizations’ interest in adopting the technology. According to a survey conducted by Stanford University in the United States, investment in AI worldwide doubled between 2020 and 2021.
A survey conducted by the Brazilian Company for Industrial Research and Innovation (EMBRAPII) with 164 representatives from companies of different sectors and sizes found that, for 74% of companies, investment in Artificial Intelligence will have a high impact on competitiveness.
On the other hand, the same research also indicates that only 24.7% of businesses already use some Artificial Intelligence tool or system on a daily basis. This shows that the application of AI in Brazil has enormous potential for exploration and those who venture first have a high chance of reaping the best results.
What are the origins of Artificial Intelligence?
Conspiracies about the possibility of conferring some notion of intelligence to objects and equipment have permeated humanity since at least Ancient Greece. Aristotle, one of the most to data silos where information philosophers of his time, wondered whether it would be possible to “teach” a broom to sweep on its own and thus dispense with the slaves who were assigned to this and other more routine activities.
But significant advances in the development of Artificial Intelligence only actually happened throughout the 1940s. At that time, humanity was immersed in the Second World War, so there was a race between countries to develop cutting-edge technologies.
It was during this decade that the English mathematician Alan Turing condensed his ideas on machine learning and Artificial Intelligence in an article entitled “Computational Machinery and Intelligence”, published in 1950. It was in this article that the mathematician introduced to the world the Turing test, at the time called the “imitation game”, which measures the autonomy of robots.
Still in the 1950s, another important step towards the consolidation of Artificial Intelligence was the development of the Lisp language , created by computer scientist John McCarthy , which became, after its publication in 1960, the most widely used language for programming AI applications . Today, more than 60 years after its publication, Lisp is one of the oldest programming languages still in use.
One of the most high-profile developments involving artificial intelligence occurred in 1997. That was when the computer Deep Blue , developed by IBM , won a chess match against then world champion Garry Kasparov .
What is the Internet of Things? What is the relationship between IoT and AI?
The Internet of Things , a concept also known by the acronym IoT , refers to the blog – is it worth running a blog in a small company? everything you need to know [update 2024] that allows common objects in our daily lives to be connected to the internet, generating, receiving and sharing data. This data, in turn, can as a source of information to train and enrich Artificial Intelligence machines .
You have certainly used or have used the Internet of Things at some point in the last few years. Items such as cars, televisions and even refrigerators are just a few that worked 100% offline until recently, but are now able to connect to the internet and thus promote major changes and challenges in the way businesses in various areas deal with data collection and analysis.
In practice, when we talk about business, some of the main changes brought about by the processing of data collected from the Internet of Things are the reduction of waste of resources, greater operational efficiency and a reduction in periods of inactivity, among others.
Quality data obtained via IoT represents an opportunity for organizations to embrace new ideas and reinvent themselves. Seeking more innovation and promoting the emergence of more creative ideas within your company is one of the ways to remain competitive and win new customers.
Embracing the changes that come with collecting and analyzing data from the Internet of Things opens your eyes to new and better business opportunities that might otherwise go completely unnoticed.
The technologies behind AI
The functioning of Artificial mobile lead involves the development and use of a series of technologies. Check out below what the main ones are and how they work.