Data Science and Big Data

Data Science is the discipline that gathers all the work of analysis on data sets that requires a considerable amount of skills in programming, engineering and software management, as well as extensive knowledge in Mathematics, Statistics and Computer Science. Problem solving through Data Science involves a series of stages such as: understanding the data, extracting its properties, modeling and analyzing the problem, presenting results, and developing software to exploit the knowledge extracted. Data Science provides the tools to deal with and benefit from Big Data.

Big Data is creating new opportunities in all the aspects of technology by leveraging its most valuable asset: information. Big Data Technologies help improve efficiency, quality, and the personalized products and services offered by organizations. In scientific terms, Big Data Analysis opens new research horizons with potentially more promising results and deeper revelations than before. In many cases, Big Data analysis integrates structured and unstructured data with real-time responses, opening new paths to innovation and development.

Research lines

Advanced Machine Learning & Deep Learning

Research on advanced Machine Learning (ML) and Deep Learning (DL) has been at the forefront of artificial intelligence, paving the way for groundbreaking applications and…

Data Science and Big Data

Smart Data & Data Quality & Data Governance

Smart Data, Data Governance, and Data Privacy are interconnected concepts that play crucial roles in the responsible and effective management of data. Smart Data refers…

Data Science and Big Data

Anomaly Detection & Real Time Analytics

In an increasingly connected world, thanks to paradigms such as the Internet of Things (IoT), Big Data and eHealth, more and more data is being…

Data Science and Big Data

General Purpose Artificial Intelligence

A General-Purpose Artificial Intelligence System (GPAIS) refers to an advanced AI system capable of effectively performing a range of distinct tasks. Its degree of autonomy…

Trushworthy Artificial Intelligence

Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system’s entire life cycle:…

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Data Science and Big Data

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