AI and Big Data: Getting value and intelligence from data
We focus on the application of AI and Big Data technologies to real scenarios where the innovation is fundamental to contribute to a data-driven society powered by the massive amounts of data available today through multiple devices and locations such as mobiles, homes, cities, cars, etc. These set of technologies pose not only technical but also societal and ethical issues.
- Artificial Intelligence: Machine Learning and Deep Learning to enable multiple applications to real-world scenarios.
- Big Data: Covering most of the technical aspects of the Data Value Chain to get value from the data. The use of blockchain to enable secure data sharing is one of our key research lines.
- Semantics: Application of Knowledge Graphs and Linked Data as enablers for AI.
Our main vision is to carry out research on AI-guided by strong ethical principles, to avoid the misuse of AI and Big Data, and ensure data privacy and auditability while enabling the use of the technology. In this sense, Blockchain technology is also being integrated as an enabler to break data silos.
From the technical perspective, the Lab is developing services to easily define and deploy big data and machine learning frameworks and algorithms on demand (especially useful for data scientist and SMEs), with the combination of cloud and edge analytics, as well as Big Data Benchmarking solutions which recommend and deploy the right tool for benchmarking their applications and Big Data services.
Our Lab provides a unique point of contact with the R&D carried out in the Big Data and AI fields in Europe through our participation in the Big Data Value Association and lighthouse AI projects, in particular by developing assets that allow deploying and configure Big Data frameworks, ML libraries, and algorithms; analyze social networks; search and recommend Big Data tools; and enable data sharing using a Blockchain approach.
Knowledge in these fields makes the Lab a key driver in the research of new ways to empower companies in their digital transformation while keeping ethical values at their forefront.