pRediction

pRediction analyses your stored information and generates models that predict the needs of organizations to anticipate and help in decision-making in the areas that need to predict the future. Applies artificial intelligence and machine learning techniques in order to build analytical models with sufficient goodness that allow them to be implemented in productive environments of organizations.

pRediction gives you optimal predictive models regardless of the problem to be solved and the available information sources. It can be applied to the construction of different types of models and in different business areas.

For example, in healthcare, it is able to predict the readmission of patients discharged from hospitals. In this case, allowing the centres to anticipate the events and be able to take measures that prevent the readmission of said patients by applying more reactive policies to the provision of health services. This has allowed:

Improved planning of resources and services provided in the organization
Improvement in the quality of care, by reducing readmissions
Improvement in the quality of life of patients

In Sport, pRediction develops predictive models related to player effort and performance. Use of information related to the players in training sessions, last matches, etc. The models determine:

What physical evidence is not relevant
How different workouts influence effort and performance

pRediction

pRrediction allows to obtain optimal predictive models regardless of the problem to be solved and the available information sources. It can be applied to the construction of different types of models and in different business areas.

- Applies artificial intelligence and machine learning techniques in order to build analytical models with sufficient goodness that allow them to be implemented in productive environments of organizations.

- pRediction allows to obtain optimal predictive models regardless of the problem to be solved and the available information sources. It can be applied to the construction of different types of models and in different business areas.

- Inetum brings experience in carrying out advanced analytics projects in various business areas such as the healthcare environment and sports organizations.

We will be able to perform:

Diagnostic analysis

The next step for an organization to improve: find the causes

Predictive analytics

Based on the above, predictive analytics makes an estimate of what will happen to the business => Decision making

Prescriptive analysis

Using the present and future predictions, prescriptive analytics determine what we need to do to improve my business => Determine actions

pRediction

Allows to obtain optimal predictive models regardless of the problem to be solved and the available information sources.

The main features are:

Assimilating data from heterogeneous sources, it is a system that learns automatically
Learning capacity => Continuous improvement based on knowledge, important with respect to rule-based systems.
Automatic model generation
Models are capable of handling the uncertainty associated with all human knowledge
Knowledge representation capacity:

- Graphic

- Intuitive

Selection of appropriate evaluation methods according to the type of analysis applied

A wide range of solutions

Chronotime Workplace, Workforce Management Solution

Chronotime Workplace offers a new collaborative experience in time management to develop the efficiency, autonomy and commitment of the different stakeholders while respecting the company's rules and its imperatives of rapid and measurable return on investment.

Content Management Solution

Managing customer communication in the digital age, a major business challenge

pRediction

pRediction​

pRediction

pRediction

A wide range of solutions

Chronotime Workplace, Workforce Management Solution

Content Management Solution

pRediction