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Machine Learning for companies. Algorithms at the service of your business

Machine Learning algorithms allow us to anticipate or predict what is going to happen in the future and allow us to act on all types of companies (retail, manufacturing, services, banking and insurance) and on any area within it, from the area marketing, finance, production or HR.

For example, it allows us to know which customers or employees are at risk of flight, to know which products each customer will like the most, the probability that a machine will break down, or to identify the root cause of a problem and detect when it occurs. it is going to happen again in the future.

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AI, Machine Learning, Deep Learning?

When we talk about artificial intelligence or advanced analytics we usually mix different concepts that are related to each other. The following diagram will help us clarify these concepts:

ARTIFICIAL INTELLIGENCE

AI is the most general term that describes the techniques that allow machines to replicate human intelligence, using logic and machine intelligence.

MACHINE LEARNING

It is the subset of AI that includes both statistical and probabilistic techniques and reinforced learning.

DEEP LEARNING

It is the subset of machine learning formed by multilayer neural network algorithms that allow software to train itself to perform tasks such as speech, image, text recognition, on large data sets.

Algorithm typologies of Machine Learning

Machine Learning algorithms are classified into three types:

Supervised: where the user is the one who teaches the algorithm, and based on what has been learned, the algorithm can perform the assigned task. For example, classification problems where the user teaches the different typologies and then the algorithm applies the knowledge learned to classify new elements.
Unsupervised where the algorithm self-learns based on the data it has. For example, we give you images or customer information and distribute them in different clusters, but without knowing what you are classifying and without them being marked by the user.
Reinformed Learning: It is a last type of algorithm that learns based on rewards based on its behavior.

Applications of Machine Learning for companies

Some examples of the use of Machine Learning to improve the competitiveness of companies:

MARKETING & SALES

Improved profitability of customers and their relationship with brands

TALENT & HR

Improved employee experience through data and AI

ON-PREMISE/CLOUD

Make manufacturing processes more efficient [productive & back office]