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The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
The EUDAT CDI is essentially a European e-infrastructure of integrated data services and resources to support research. This infrastructure and its services have been developed in close collaboration with over 50 research communities spanning across many different scientific disciplines and...
P.O. Box 405, Espoo, FI-02101, FI
Agro-industrial companies face the necessity of acquiring more information and control over their crops and the operations they perform in order to produce them. The challenge lies in reducing the hydric and energy resources they use with the objective of increasing their competitiveness and reducing the impact on the environment. Under the brand name of bynse, our SME cubenube (www.cubenube.com) has developed the first big data solution for agriculture in the world.
Agro-industrial companies face the necessity of acquiring more information and control over their crops and the operations they perform in order to produce them. The challenge lies in reducing the hydric and energy resources they use with the objective of increasing their competitiveness and reducing the impact on the environment. Under the brand name of bynse, our SME cubenube (www.cubenube.com) has developed the first big data solution for agriculture in the world.
The data intensive target sector selected for the DataBio project is the Data-Driven Bioeconomy, focusing in production of best possible raw materials from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials taking into account also various responsibility and sustainability issues.
The data intensive target sector selected for the DataBio project is the Data-Driven Bioeconomy, focusing in production of best possible raw materials from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials taking into account also various responsibility and sustainability issues.
