Expertises

AI - Machine learning

Optimize your systems with AI & Machine Learning

Machine Learning and Deep Learning are fields of study in Artificial Intelligence based on a statistical approach to data to give a computer the ability (using one or more algorithms) to "learn" in order to solve problems based on the examples it has previously received.

When to use Machine Learning?

Machine learning algorithms always produce a numerical value that will serve for prediction or classification.

  • ■ Processing limited amounts of data
  • ■ Interpretation of data that can be structured

The best machine learning solutions can help automate various business operations, including identity verification, advertising, marketing and information gathering, and enable exceptional opportunities for the future.

When to use Deep Learning?

Deep learning algorithms are capable of much more. They produce numerical values but also text, images (and video), sound.

  • ⬟ Interpretation of very large data volumes
  • ⬟ Solving problems too complex for machine learning

Deep learning solutions today are associated with cognitive computing and turn to speech recognition and understanding, facial or shape recognition features to try to replicate the way the human brain works.

Test our facial detection demo

To better illustrate our point, we developed a facial detection demo.

Test it and form your own opinion about the potential of deep learning, machine learning, and more generally artificial intelligence.

Test facial detection

Big data

The usefulness of databases

Databases are at the heart of information systems of all organizations, whether small or large, for-profit or non-profit, private or public.

The volume of data to be kept constantly increases and their management becomes increasingly complex.

Moreover, most information systems are now computerized.

Fortunately, the power and performance of DBMS allow to meet this growing demand... Up to a certain point.

What information to extract from databases?

Databases meet information needs, i.e., the questions that managers must solve to ensure the smooth operation of their organization.

Databases, through the answers they provide, serve to maintain sound management of the various applications of the company.

For example, databases must provide answers to various questions such as:

  • ■ Which customers have not paid their invoice on time? When did this customer place an order?
  • ■ What is the total sales for the day, by customer and by product category?
  • ■ Which store is the most profitable? What was last month's sales amount?
  • ■ What is the product description to display? What are the user reviews? How to filter products from a catalog by category? Which products are best-sellers?

We could continue for a long time raising such questions depending on the type of organization. A conservation principle states: everything that comes out must have been previously entered.

For databases to be able to answer managers' multiple questions, they must be fed with a considerable amount of well-organized data.

The content of databases is therefore varied and encompasses all aspects of company operations.

The importance of designing the database well

Companies increasingly rely on databases to make very important decisions.

These decision databases enable them to plan their operations, to ensure their competitiveness and to meet market demand regarding products to offer, the location of points of sale, their interior layout and merchandise display.

By this means, they can also track customer behavior.

The very life of organizations depends on the information their database provides.

It is essential that databases are well designed, given their direct impact on the functioning of the organizations themselves.

Successfully designing a database requires close collaboration between information systems specialists and the users of these systems, regardless of the size of the database. Database design is above all a team effort.

We bring you our expertise to collect data efficiently (while respecting GDPR).

Each piece of data is classified and saved in a structured way to access it as quickly as possible.

For this, we recommend the technologies (DBMS) most likely to meet your needs (relational, object, noSQL, Newsql, etc.).

Our Data Mining tools will allow you to extract strategic information in order to make your information systems more intelligent.

We implement AI modules for our clients that bring technical simplification in data processing and thus improve their business processes while reducing costs.