Remove 2030 Remove Data Quality Remove Digital Remove Real-time Data
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Why Data Will Power the Self-Driving Car Revolution

Sisense

AVs of the future will require different types of storage — and lots of it — to gather data from LiDAR, radar, cameras, and other sensors as well as in-vehicle infotainment, navigation systems, and maintenance data. Mapping data quality, specifically accuracy and precision of such data, is seen to be more important than resolution.”.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

Data Pine

billion and is expected to expand at a rate of 15.7% (CAGR) between now and 2030. Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data.