Petabytes of high-dimensional data are nowadays acquired by diverse sensing modalities and sources. Mining and cross correlating these heterogeneous data sources can unlock new insights, accelerate new market opportunities and lead to innovative products. In the smart cities industry, for example, conventional structured datasets can be cross-correlated with private big data sources, such as web search engine’s data, commercial vendors’ data sets, mobile positioning data, social media data (Twitter, Youtube) as well as open data. Leveraging the potential of vast corpora of data can help to effectively cope with new challenges.

Mining and cross correlating heterogeneous data sources implies the use of Machine learning and signal processing algorithms for the cross-correlation and analysis of dynamically evolving big heterogeneous data. Also Deep learning with deep sparse coding networks, deep recurrent neural networks and convolutional neural networks is one of the services we could offer.

E-recruitment aims at supporting online job seeking, recruiting and career development building on top of the notion of intelligent information management. In the process, exploitation of the current Web as a platform for data and information integration in addition to traditional search and retrieval systems seems to be the only way for efficient data acquisition and manipulation. The Linked Data together with social network paradigms like LinkedIn, Facebook or Twitter, allowed for enterprise-ready tools and methodologies for exposing and managing very large amounts of structured information on the Web.