Augmented Analytics: A New Perspective for Making Data-Driven Business Decisions ‍In this age of digital transformation, businesses need to make data-driven decisions to remain competitive. Augmented analytics leverages machine learning and artificial intelligence to make such data-driven decisions.

Augmented analytics is a term used to describe the use of machine learning (ML) and artificial intelligence (AI) to make data-driven decisions. It is a form of analytics that is…

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Understanding the Relation Between NLP and Augmented Analytics By using AI, ML and NLP, augmented analytics can automate and enhance the data analyzing process to automatically generate predictions and provide explanations which are easy to understand for everyone.

Data is at the heart of modern-day organizations. With it, firms can learn how to evolve, who to advertise to, what to produce, and much more. But the amount of…

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How Augmented Analytics Addresses Challenges in the Retail Sector  Augmented analytics have surfaced in various retail use cases, including forecasting new fashion trends, analyzing consumer input for trends, and predicting eCommerce refunds before checkout.

Over the last few years, the rapid development of machine learning and artificial intelligence technologies has encouraged the idea that, eventually, AI may surpass or completely replace human intelligence. But,…

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