Content Analytics Discovery and Cognitive Software Market Analysis, Trends, Forecast 2016-2026
Content Analytics comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. Content analytics softwares uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company’s unstructured data.
Content Analytics comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. Content analytics softwares uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company’s unstructured data.
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Report Description<br />
<strong>Cognitive</strong> systems leverages large amounts of structured <strong>and</strong> unstructured data <strong>and</strong> content<br />
analytics tools, along with several infrastructure technologies to answer questions, provide<br />
recommendations <strong>and</strong> directions. In addition to this, it helps in hypothesis <strong>and</strong> formulation of<br />
possible answers <strong>and</strong> updates itself by adopting learning algorithms from its mistake <strong>and</strong><br />
failures.<br />
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1813<br />
Global <strong>Market</strong> of <strong>Content</strong> <strong>Analytics</strong>, <strong>Discovery</strong> <strong>and</strong> <strong>Cognitive</strong> <strong>Software</strong>: Drivers <strong>and</strong> Restraint<br />
Unstructured data is driving a revitalisation in the analysis of information, resulting in the<br />
introduction of innovative tools capable to offer intelligent assistance, guidance <strong>and</strong><br />
recommendations to customers. Particularly, cognitive systems offer cloud <strong>and</strong> mobile-based<br />
platforms through which theintelligent assistants (such as Apple's Siri, Google's Google Now,<br />
Amazon Echo, Microsoft's Cortana, Brainasoft’s Braina, Samsung's S Voice, LG's Voice Mate,<br />
BlackBerry's Assistant, SILVIA, HTC's Hidi, IBM's Watson) are able to operate, using databases<br />
<strong>and</strong> knowledge graphs built with the help of content analytics.<br />
<strong>Content</strong> analytics, discovery <strong>and</strong> cognitive Systems, together are used for complex applications<br />
such as medical research, fraud prevention, digital forensics for crime detection <strong>and</strong> sentiment<br />
analytics to measure the “feelings of the crowd” towards a br<strong>and</strong> or product.
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