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Television content has a very long life cycle. After being produced and broadcasted it is archived in order to be reused later (days, months, even years)  for both rebroadcasts and inclusion in [...]

In collaboration with SIA, we will present WASP applied to an instant payment use case at Red hat Open Source Day in Milan. https://www.redhat.com/it/about/events/red-hat-open-source-day-2016 The [...]

WASP is a framework that enables the development of full stack complex real time applications like IoT for example, complex big data streaming analytics, massive data ingestion or data offload [...]

We are working on a new kind of prototype dedicated to broadcasters: the system is able to analyze different kind of flows (video, speech to text, structured feeds, social network feeds, etc) in [...]

The natural evolution of Big Data will be Fast Big Data. Agile Lab has been focused on building an unattended big data platform for Real Time data ingestion and Streaming analytics. These are the [...]