The difference between artificial intelligence, machine learning and deep learning
Nowadays, many terms related to artificial intelligence, machine learning, and deep learning are widely used in the business context, especially when it comes to making correct predictions and analyzing data.
Today's production processes require efficiency and automation. The market has grown, so companies are increasingly focusing on the use of chatbots and other programs and systems to improve logistics, productivity and customer service, with a significant impact also on the presence and visibility of brands. In this regard, artificial intelligence, machine learning and deep learning are becoming increasingly important.
First of all, it is worth noting that, despite the importance of Artificial Intelligence, the quality of the workforce should never be overlooked. Highly qualified people are responsible for making strategic business decisions , based on the analysis provided by intelligent tools.
What is artificial intelligence or AI?
This term is used a lot and refers to the process or ability that machines can have to solve problems and learn efficiently.
It is important to note that machines designed with artificial intelligence have the ability to imitate some human cognitive functions. They can also predict certain financial and business events in order to offer viable solutions for freelancers and companies in different economic sectors.
Some IT professionals determine that by using Artificial Intelligence, machines can interpret a variety of data to achieve objectives with greater flexibility, accuracy and efficiency.
Within Artificial Intelligence, there are systems capable of thinking like human beings, which allow decision-making and help improve learning. Some systems have the ability to think rationally and are useful for calculations, to have an adequate perception of the reality of a company.
Systems capable of acting like humans on their own imitate a variety of human behaviors. For example, we can highlight innovative robotic devices.
Artificial Intelligence Applications
Artificial intelligence is one of the most amazing advancements, as it allows machines to learn to predict certain types of behavior, based on data analysis. For this reason, it finds application in a variety of businesses, exploring the machine learning capability on several fronts, such as:
- natural language processing
- Training electronic devices to detect specific situations, such as diseases in patients, for example
- Using chatbots for efficient customer service
- development of robotic products that stand out for their functionality.
What is machine learning?
Machine Learning is a term that refers to the development of programs with the ability to identify complex patterns in millions of data, build models and generate predictions of future behavior, based on examples of information.
Machine learning is a part of artificial intelligence and is very useful for developing computer systems that can learn from input examples. In this context, it is important to mention that this type of machine can identify patterns in a large amount of data used for business analysis.
This type of learning is widely used in companies that have adopted Artificial Intelligence, as it improves processes, provides productive efficiency, increases revenues and reduces costs.
Machines powered by Artificial Intelligence work with an algorithm to review the amount of data in a company. Therefore, they can predict the behaviors that they will have in the future. It is important to note that this type of computer system can be improved day by day and does not need human intervention to function and be efficient.
Machine learning applications
Machine learning is mainly used to enable machines to project behaviors through learning. For example, there are machines that recognize faces, learn a variety of languages, perform medical diagnoses with great efficiency, among others .
Businesses look at many important aspects, such as customer satisfaction. With Machine Learning , you can determine which customers will turn to another provider because the company may be providing inadequate service .
In addition, a variety of customer data is analyzed, such as preferences in product consumption, age, products or plans that were contracted, etc. In other words, one of the great advantages of Machine Learning is that it allows companies to be more competitive. This is because algorithms detect a variety of patterns to predict or determine certain future events.
Today, most businesses use relevant data to gain important insights that enable a competitive advantage in the market. With machine learning, you can detect fraud, make predictions about industrial equipment failures, analyze employee efficiency, have access to profitable customers, analyze consumer behavior, have better control over social media to make timely posts, diagnose patients
Typically, machine learning and artificial intelligence are primarily used to make business decisions, through the correct analysis of the data generated by a company .
Manual processes are a thing of the past. With machine learning, machines can analyze data through algorithms, which are improved every day to make businesses more efficient.
Machine learning can be incorporated by different segments of the economy, such as health, insurance, telecommunications, energy, finance and others.
What is deep learning?
It is a recent term, part of Artificial Intelligence . It is mainly used to create modern and efficient systems. With Deep Learning, it is possible to develop programs that can perform human-like behaviors.
Deep learning improves machine learning by giving machines the ability to choose from a set of algorithms that offer a variety of answers and act on the conclusions determined by a variety of combinations.
Deep learning allows machine learning to be performed through an artificial neural network. This type of learning works through levels, i.e. at the first level, the network can learn simple things and then transmit all the learned information to the other level. This information is then efficiently combined to improve machine learning.
Deep learning is currently widely used in the industrial sector as it enables the analysis of large amounts of data to discover important patterns and make accurate predictions.
Artificial intelligence, machine learning and deep learning in the business context
Artificial intelligence improves production efficiency. Thanks to it, there are many systems capable of reproducing a variety of processes that are part of human thinking, for example:
- Voice recognition
- Image Identification
- Facial recognition
- Autonomous vehicles
- Medical diagnosis
With the performance of Deep Learning processes, you can delve deeper into previous applications , like this:
- Voice recognition: recognition of accents, dialects, etc.
- Image identification: recognition of specific colors and materials, etc.
- Facial recognition: identifies the user's emotions of happiness or sadness, etc.
- Autonomous vehicles: route recognition, taking into account the environment around you, etc.
- Medical diagnosis: symptom recognition for more accurate disease detection, etc.
Machines, through machine learning, can also provide a clearer view of the business. This helps managers make the best decisions.
Furthermore, thanks to Deep Learning, robotics has evolved, and it is now possible to create machines that reproduce human behavior and are capable of improving business productivity.
