A Study on Scalable and Operational Cognitive Analytics for Big Data

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Uthaman V, J. Lavanya

Abstract

With the explosion of big data in recent years, the need for scalable and operational cognitive analytics has become more pressing than ever. This innovative approach to data analysis is designed to handle the vast amounts of information generated by modern businesses and organizations, while also providing insights and actionable intelligence in real-time. In this paper, we will explore the key components of scalable and operational cognitive analytics, as well as some of the innovative approaches that have emerged in recent years. We will also examine how this approach has been applied in different industries, and what the future holds for this exciting field. By the end of this paper, readers will have a comprehensive understanding of scalable and operational cognitive analytics and its potential implications for big data analysis and industry.

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