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Data Science and Big Data

Data Science and Big Data Description

In the Data Science and Big Data Area, we are experts in data-driven decision making, i.e. 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 analysis: data preparation for analysis, feature generation, model learning/creation, model validation, interpretation and visualization.

  • Type of analysis: descriptive (query & reporting, OLAP, descriptive statistics, graph analytics), predictive (data mining, machine learning, process-oriented data science, streaming, etc.).
  • Advanced techniques: explanation of outcome, causality, ethics and equity.
  • Visualization: dashboards, what-if analysis, geospatial, temporal, networks, advanced visual analytics, etc.

Data Science and Big Data Success Stories

Transformation of technical document management in the chemical sector.
The inLab FIB collaborates with Kemchain in a project to improve technical document management in the chemical sector using artificial intelligence. Kemchain, created in 2023, has developed a SaaS platform that automates the document lifecycle, increasing efficiency and security in chemical business processes.
ModpoW AgriTechnologies 2.0
ModpoW’s AgriTechnologies 2.0 project seeks to revolutionize agricultural irrigation and fertilization through modeling, automated learning and decision automation.
AI in “Marble Smashers”
Implementation of an artificial intelligence system to dynamically generate a map of a video game, based on nodes, following criteria of fun, user retention, and difficulty.