Albany, NY -- (SBWIRE) -- 11/19/2018 -- Cognitive analytics is a data forward approach, in which intelligent technologies are used to collect, extract, manage, and control data as well as data sources. It enables enterprises and businesses to leverage data collected from various data sources and analyze the information for decision making and business intelligence. Cognitive analytics is often used for human-like intelligence tasks such as text-to-speech recognition and speech-to-text or object recognition.
It uses multiple intelligent technologies such as artificial intelligence, machine learning, deep learning, semantic computing, and image recognition among others in order to analyze data and generate insights or business intelligence. Additionally, cognitive analytics helps enterprises process large volumes of information and make decisions in real-time.
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Cognitive analytics solutions allows enterprises to identify critical patterns, develop high- quality predictions, and enhance business performance. Furthermore, several companies are offering cognitive analytics solutions to develop data management strategies from structured and unstructured data. These solutions include information management, data warehousing, and big data services for valuable insights.
Rise in demand for automation and knowledge-intensive across business operations is primarily driving the cognitive analytics solutions market. Additionally, rise in demand for personalized and profitable customer interactions from small and medium enterprises (SMEs) and large enterprises is anticipated to drive the market during forecast period. The cognitive analytics solutions market is likely to be propelled due to an increase in adoption and use of the solutions for self-correcting and human cognition for continuous learning.
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Furthermore, technology advancements as well as integration of advanced platforms such as Big Data are fuelling the cognitive analytics solutions market. SMEs and large enterprises across the world are emphasizing on adopting cognitive analytics solutions in order to understand and process Big Data and structured and unstructured data in real-time. Moreover, cognitive analytics helps businesses attain data-processing power in order to identify business insights. Rise in amount of unstructured and structured data across the world is driving demand for real-time data tools and solutions such as cognitive analytics solutions. However, data security concerns and technical issues associated with cognitive analytics solutions are anticipated to hamper the cognitive analytics solutions market in near future.