Learn about artificial intelligence
Artificial intelligence: what is it?
As you've seen, artificial intelligence is all around you. And it's manifesting itself in a variety of ways in your day-to-day activities.
In a nutshell, artificial intelligence refers to any computer technology that enables us to solve complex problems that we previously thought could only be solved by human intelligence.
As a result, there are actually many distinct technologies that fall under the umbrella of artificial intelligence, rather than just one. In the rest of this article, you'll meet some of them.
Artificial intelligence is already present in many aspects of our daily lives, including the social networking applications we use, the routes we choose, and the music and videos we watch.
Artificial intelligence is "any computer technology that solves complex problems thought to be reserved for human intelligence".
. This field of research still
has much to teach us, and in the future AI will find countless applications.
You can now better understand artificial intelligence and its potential applications in our
daily lives by discovering some of its current and future uses.
Familiarize yourself with the artificial intelligence sector
The fields of artificial intelligence enable machines to perform tasks to which people might traditionally be limited. A few ideas directly or indirectly related to the AI revolution need to be kept in mind to understand what it's all about, including data, big data and deep learning.
The study of artificial intelligence is vast. We've selected the ideas we feel are most crucial to understanding this interesting subject to learn. But bear in mind that this is not an exhaustive list of all the elements that go into its composition.
Identify the data you generate
The terms "data", "data", "data protection", "data magic", "data theft" and "data-driven decision-making" are frequently mentioned in the media. But what does it all mean?
Information stored for use by computer programs is called data. A voice memo captured with your smartphone, a text message stored on your computer or the most recent photo taken with your camera are all examples of data.
Find out more about Big Data
All this data isn't generated by
you alone! As a company, we generate huge volumes of data together. To give you
a notion, every minute :
Nearly 4 million searches are
carried out on Google; 4.5 million movies are watched on YouTube; and 188
million e-mails are sent and received.
This phenomenon of data explosion
has given rise to the concept of Big Data. It's the sheer quantity of data
involved that makes Big Data so important.
Secondly, it's essential to bear
in mind that Big Data is diverse. It can be text, numbers, music, video and so
on. These data come from sensors in the "physical" world as well as
the Internet. For example, in the transport sector, a bus may periodically
record its position to guarantee smooth service to customers.
Discover data science, a field linked to AI
Organizations collect and use all this data. For example, to provide you with personalized services or to improve your online experience.
Finding patterns in the data requires investigation before using artificial intelligence. How should we approach it? Let's take a closer look!
Data science is a transdisciplinary subject that companies will need to use to analyze all the data collected, or that famous Big Data.
You may be familiar with the career of a data scientist. Recruiters now rank it among the most sought-after professions due to its recent popularity.
Let's take the case of a French clothing chain that operates several sites. It contains information such as every sale made by each of its stores. To improve its sales analysis, it recently hired a data scientist. In addition, it wants to determine which collections are most likely to sell in the future.
The available data is carefully
examined by the data scientist. What was his objective? Recognize historical
data to explain sales trends by various standards. To do this, they need to
integrate several capabilities:
computer skills, as she must be
able to process huge quantities of information; knowledge of mathematics and
statistics, enabling her to analyze the figures; and their expertise in the sector
in which they operate. For example, she must be able to assess stock
fluctuations, sales seasonality and other factors in the fashion industry.
The sales analysis is completed by the data scientist. After that, she is responsible for setting up systems that automatically predict which items will sell the most in the coming months. She has to use the fields of artificial intelligence to achieve this.
Learn more about Deep Learning and Machine Learning, two fields of AI
We use machine learning and deep learning, one of its sub-disciplines, to implement artificial intelligence software. Even if you've heard of them, are you really aware of their motivations? Fasten your seatbelts and get ready to decode them!
Machine learning
A subset of artificial intelligence called "machine learning" enables a computer program to learn how to perform a task for which it is not specifically trained. A lot of data is fed into the program, from which it derives knowledge. For example, this discipline is used in your e-mail inbox to automatically flag e-mails as spam.Deep learning
The creation of artificial neural networks is the basis of deep learning. The human brain has served as a model for these networks, which can comprise dozens or even millions of neurons. Deep Learning is frequently used with much more data than Machine Learning. It acquires knowledge from this large quantity of samples and, in some situations, outperforms more established areas of artificial intelligence.
When it comes to speech data, deep learning is very useful. Take, for example, the questions asked by virtual assistants. Before these auditory signals can be answered, they have to be deciphered and converted into text. Automatic natural language processing is the term used for this.
To put it briefly
We generate a lot of data every
day: e-mails, photos, etc.
Big Data is this vast quantity of
data.
Two fields that are frequently
combined are artificial intelligence and data science, particularly in the
implementation of deep learning or machine learning.
Although these are two distinct fields, robotics and artificial intelligence are frequently used in the same projects.
Artificial intelligence (AI) is defined as any algorithmic computer system that mimics human capabilities such as vision and reasoning to handle complex problems traditionally considered exclusive to human intelligence.