Enterprise data sources and applications (ERP, CRM, CMS, DMS, machine and user generated logs, pixel tag data). e-Commerce and institutional web sites. Social and Online media (newspapers, blogs, forums), emails, CRMcommunications. Third-party data providers, open and linked data sources. Subscription content providers.

Acquire, integrate, align, harmonize, analyze, search and explore Big Data by a schema-agnostic approach based on Contextual Workflows. Connect to heterogeneous information sources, both Web and Enterprise, and unify structured and unstructured data spread into your digital ecosystem.

Don’t need to be a data scientist, information architect, ontologist, taxonomist, machine-learning expert to build accurate, flexible, agile, scalable Smart Data Solutions.

Deep Insight Engine manages Big Data integration and design complexity to ‘harmonize’ and transform into actionable information faster and better. Deep Insight Engine is a unique blend of NLP, machine learning, contextual processing, and knowledge representation algorithms offered on full Hadoop Cloud stack. Deep Insight Engine saves time and money for developers, analysts, and business […]

A new stage in data-driven methods and computer-based tools applied to archaeology: the ArchAIDE project – ARCHaelogical Automatic Interpretation and Documentation of cEramics – funded by the Horizon 2020 Framework Programme of the European Union. ArchAIDE will start on June 2016 and will end on May 2019. The objectives are to support the classification and […]

ARCHAEOLOGY OF THE FUTURE: DATA MINING, DATA ANALYSIS, DATA-DRIVEN ARCHAEOLOGY The Summer School will enable participants to manage the whole life cycle of archaeological data. It is built around a new paradigm which takes into consideration the role of the archaeologist as both producer and user of digital Archaeological data. Attendees will learn the concepts […]

Data-driven are methods are becoming more and more important in Humanities. Digital tools have been producing a huge increase in the amount of data in Humanities, in forms that computers can process. New techniques, resources, challenges, and developments in the area come from the interface between pure/applied sciences and humanities. In this facebook group we […]