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sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.
Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. BigDataAnalytics erreicht die nötige Reife Der Begriff BigData war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet.
In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5
Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for dataanalytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their bigdataanalytics strategies annually (1). and/or its affiliates in the U.S. Subscribe to Alation's Blog.
EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). Licensing FAIR data for reuse. Marujo, R.
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