Data Science

Data Science Description

In the Data Science Area, we are experts in data-driven decision-making, that is, data management and analysis.

Data management: Collection, storage, integration and processing of data.

From where? Own and third party data (Open Data, Internet of Things, etc.).
System architectures based on Big Data (distributed systems), Data Warehousing.
AdvancedTechniques : NOSQL Techniques, Data Vectorization, Big Data Integration, Big Data Quality, etc.

Data Science Success Stories

FormulAItor (Automatic Form Filling using AI) for Seidor

In this project, the company, together with the participation of inLab FIB, aims to make the daily work of Help Desk staff easier, as well as that of employees who need to report requests or incidents, by automating form filling.

AgriLogistics

The main propose of AgriLogistics is the creation of a collaborative data space that facilitates access to information for all stakeholders in the agri-food supply chain, with the aim of strengthening logistics and improving its efficiency.

AI-driven approaches to accelerate microelectronic circuit design for QORVO

inLab FIB and Qorvo Inc. are collaborating on a research project exploring artificial intelligence-based approaches to accelerate microelectronic circuit design, with a focus on design automation and performance prediction.

Study of a new triage model of “Hospital de Sant Pau”

The inLab FIB will carry out a study and develop a proof of concept of a new triage system for the “Hospital de la Santa Creu i Sant Pau”. This system will prioritize certain patients to prevent waitings from negatively affecting them.

Intelligent help system for quality managment systems for Kapture

The inLab FIB participates in a innovative project to develop an interactive assistant based in Artificial Intelligence (AI), designed to help solve quality issues.

Hardware communication in a hospital environment for Winfor

This project aims to implement Industry 4.0-based technologies to make communications, data collection and supervision of unconnected machinery within a medical/ hospital environment.