What is it

Artificial intelligence is a tool that allows you to solve problems by simulating human logic, generating new content.

There are two large subsets:

  • Machine Learning is a system trained to learn automatically from experiences;
  • The Deep Learning is a subset of machine learning that uses artificial neural networks to imitate the learning process of the human brain. The system is trained to learn on its own by recognizing patterns across multiple levels of processing.

In summary:

Machine LearningDeep learning
Subset of AISubset of Machine Learning
It can train on smaller data setsIt requires large amounts of data
It requires more human intervention to correct and learnIt learns on its own from the environment and past mistakes
Shorter training and lower accuracyLonger training and greater precision
Create simple, linear correlationsCreate nonlinear and complex correlations
Can run training on a CPU (central processing unit)It requires a specialized GPU (graphics processing unit) for training
It works with unstructured data such as images, videos, and audio
Ability to abstract and learn complex concepts, adapting to dynamic and complex environments

Examples:

Machine LearningDeep learning
Supervised: classify emails as spam or non-spam based on labeled data sets, including both inputs and outputsSocial Media – analysis of large quantities of images in order to detect users with specific content (for example for facial recognition) or in sentiment analysis to understand what public opinion thinks of a product or service, for example by scanning online reviews
Unsupervised: grouping data based on similarities, even without knowing in advance which categories they represent. Learning from unlabeled data, which includes only inputsFinance – Neural networks can predict company values, identify threats and develop trading strategies
Healthcare – helps understand patient behavior, facilitating diagnosis and treatment
Cyber Security – Algorithms can detect and mitigate threats such as viruses and malware
Digital Assistants – Natural language processing (NLP) allows Chatbots and digital assistants such as Siri, Google Assistant and Alexa to provide intelligent responses
Texts – machine translation, text generation

The advantages of Artificial Intelligence

What are the benefits?

Assistance

Digital assistance tools available 24×7 allow you to answer the most common questions, resolve issues or scale them to human agents, reducing repetitive tasks.

Reduction of errors

Correctly programmed algorithms allow you to increase accuracy and precision, for example through robotic surgery systems, improving safety and patient outcomes.

Zero risks

The use of robots eliminates risks for humans, for example for bomb defusing, interventions in the depths of the ocean, space travel or in fully automated dangerous production environments.