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Data has a large option value. Due to the perpetual development of new technologies and datasets, it is hard to predict how the value of a particular data asset might change. Organizations may store data, anticipating possible future value, rather than actual present value. Data collection often has high up-front cost and low marginal cost.
As these data sets grow, they become increasingly valuable in enabling companies to better tailor their products and features and to target customers with highly contextual and relevant offers. Customers don’t sign up to directly benefit from the data asset; the product is so valuable that they simply want the features offered out-of-the-box.
Seven content-licensing sellers of music, image, video and other datasets for use in training artificial intelligence systems have formed the sector's first trade group, they said on Wednesday.
Clarivate Analytics, a global company that owns and operates a collection of subscription-based services focused largely on analytics; Cloudera, an American-based software company that provides Apache Hadoop-based software, support and services, and training to business customers; Compuverde, an IT company with a focus on big data storage
Data Sharing: Supports the access and exchange of data where access consists of ad hoc requests (such as a query of a data asset), and exchange consists of fixed, re-occurring transactions between parties. Enabled by capabilities provided by both the Data Context and Data Description standardization areas.
Fortune 500 companies based in Houston [1] Rank Company name 12: ExxonMobil: 48: Phillips 66: 60: Sysco: 105: Enterprise Products Partners: 106: Hewlett Packard ...
Data companies are companies which specialize in data and databases Subcategories. This category has the following 4 subcategories, out of 4 total. B.
VAST Data is a privately held technology company focused on artificial intelligence (AI) and deep learning computing infrastructure. [ 2 ] [ 3 ] The company offers a data computing platform to help enterprises and cloud service providers manage and accelerate large-scale data-intensive applications.