Sentence examples for datasets intelligence from inspiring English sources

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With incomplete datasets, intelligence systems are severely limited, hampering efforts to develop targeted interventions.

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It goes on to note that the existence and use of bulk datasets by U.K. intelligence agencies was only disclosed following a year-long U.K. parliamentary inquiry into domestic spy agencies' operations — itself triggered by the Snowden revelations.

Using several data sources, we created a dataset of market intelligence information for ARVs that includes purchases made with donor funds in low- and middle-income countries.

The real costs though would be borne by other companies, such as startups who rely on customer datasets to power artificial intelligence.

Essentially, Ayasdi aims to automate the insight discovery process, allowing end users to find valuable intelligence within massive datasets almost instantaneously.

InfiniteGraph seeks to reduce the amount of time it takes to make these connections to a matter of seconds, processing large graph datasets, in areas like government intelligence, social networks and social media CRM, location-based services, and financial analytics.

In this paper Formal Concept Analysis (FCA) is showcased for its exploratory data analysis capabilities in discovering domestic violence intelligence from a dataset of unstructured police reports filed with the Amsterdam-Amstelland police in the Netherlands.

The company, founded in 2004, had one of the largest datasets on mobile app usage and intelligence, having tracked hundreds of thousands of apps and mobile networks worldwide.

Geeky cheerleading aside, today this means that Ayasdi's platform is attempting to automate the so-called "insight discovery process," allowing companies and institutions to identify valuable nuggets of intelligence within massive, complex datasets in near realtime.

However routine outpatient dataset for England cannot provide any intelligence on this at present.

It has been a long history that intelligent methods from artificial intelligence were widely used in bioinformatics, where these approaches were utilized to analyze and interpret the big datasets that cannot be handled by biologists.

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