CORDIS Project
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AMIDST aims to create a flexible toolbox for analyzing and predicting data from streaming sources. It focuses on developing scalable algorithms tailored to various industrial applications, enhancing decision-making capabilities in sectors such as software, automotive, energy, and finance.
The objective of AMIDST is to develop a toolbox providing a scalable framework that facilitates efficient analysis and prediction based on information captured in streaming data.
The work includes developing and scaling up existing algorithms in order to make the AMIDST toolbox flexible and versatile enough as to cope with the needs and requirements of a wide variety of applications.
The toolbox will be particularized to address three industrial use-cases.
Each use-case solution will be used to…
AALBORG UNIVERSITET
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Stuttgart
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Denmark, Aalborg
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
Spain, Almeria
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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