Cognitive computing made a big splash when IBM introduced Watson on "Jeopardy" a few years ago, and its impact on the world has only grown since then. The ability to address complex situations and data trends using ambiguous data is a hot agenda item with business and IT decision makers today, and as such the demand for cognitive clouds is on the rise. In this slideshow, CognitiveScale explains this new category in cloud computing.
Cognitive clouds address three of the biggest challenges facing businesses today: securely sourcing data from multiple sources, analyzing unstructured data, and getting actionable results from analytic initiatives. Cognitive clouds address these challenges by augmenting human intelligence and accelerating the value of Big Data by extracting insights from structured and unstructured data. This includes data from sources that are difficult to capture, process and analyze such as information from devices, social media and images.
Cognitive clouds generate insights and advice, weaving them into contextually relevant visual data stories that apply to industries and business processes. They are able to do all of these things while providing businesses with complete data transparency, lineage, management, and control over the data.
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