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machine learning for industry 4.0

Artificial Intelligence and Predictive Analytics for Industry

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Tyris. Ai is the result of tyris-software’s evolution towards the industry market, a sector which allows us to apply our knowledge in Machine Learning and Data Analysis learned during the 5 years we have been working.

Specialised in Artificial Intelligence and Predictive Analytics for Industry, we recently received the Innovation Award 2018, granted by the construction company Sacyr and the Ministry of Science and Innovation.

SOLUTIONS

PREDICTIVE MAINTENANCE

WITH MACHINE LEARNING

Predictive analysis system of process data for the forecast of unplanned shutdowns, failures or breakdowns of installations before they occur.

PREDICTIVE SYSTEM OF THE

PROCESS QUALITY

(PRODUCTION NOK VS. OK)

System that includes different sources of process information to generate predictive models that allow identifying when the facilities are going to produce elements with quality flaws before they occur.

POWER EFFICIENCY

WITH MACHINE LEARNING

Automatic learning system developed to optimize and minimize energy consumption associated with distributed processes or production facilities.

PRODUCTION

SCHEDULING SYSTEM

Customised system for automatic production planning and maximisation of resources.

More than
evolution,
revolution.

The industrial revolution 4.0 is marked by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. Organizations must identify the technologies that best meet their needs in order to invest in them. <br>If they do not understand the changes and opportunities that Industry 4.0 brings, they risk losing market share.

01

Integration
of Data
Production

Partners especializados en Sensórica para Predictivo

02

Big
Data
Core

industrial iot platform

03

Analítica Productiva con ML

motor de predicción machine learning

INDUSTRY

The industrial revolution 4.0 is characterised by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. The organizations must identify the technologies that best satisfy their needs in order to invest in them. If they do not understand the changes and opportunities that Industry 4.0 brings, they risk losing market share.

AUTO
MO
TIVE

The automotive sector has always experienced the largest implementation of advanced analytical technologies and industrial data integration systems.

METAL
& STEEL
INDUSTRY

One of the industrial fields in which the use of machine learning techniques is becoming more and more common is the Metal and Steel Industry.

CONS
TRUC
TION

At Tyris AI we are already working on several predictive analytics projects for the construction sector.

AGRI
FOOD

In agriculture, Big Data and Machine Learning technologies allow to monitor in real time the state of the crops as well as the management and control that the farmer has over it.

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