Augmented Analytics – Top Three Use Cases Recent collaborations with leading companies globally helped us understand the main challenge facing businesses today- ‘Data Complexity.’ ...

Augmented analytics automates the process of data cleaning, integration, and interpretation, reducing the time and effort required for data preparation. It ensures that the data used for analysis ...

Augmented analytics has helped top companies across industries to better manage and analyze their data sets. Request a FREE demo to know more. Business Benefits of Augmented Analytics: ...

Augmented analytics — which is basically the use of machine learning (ML) and natural language processing (NLP) for insights generation — can assist with many business goals.

Market Size – USD 10.06 Billion in 2021, Market Growth – CAGR of 29.5%, Market Trends – Technological advancements in the analytic techniques to propel the augmented analytics market.

Augmented analytics can best be broken down into three aspects: machine learning (ML), natural language processing (NLP) and automated insights (the end result).

NLP Augmented Analytics is poised for some giant leaps forward. NLP technology has grown from a handful of trained models (used for Transfer Learning) to dozens. I learned at the NLP Summit in October ...

Along with augmented analytics, the market watcher stresses added support for a reporting mode focused on “predictability” as among the key differentiators for market leaders such as Microsoft, ...

Emerging tools like augmented analytics are expected to drive the “smart data” market to more than $30 billion over the next several years, a market forecaster predicts. Frost & Sullivan pegs the ...

Through HyperSense, an end-to-end augmented analytics platform, Subex empowers communications service providers and enterprise customers to make faster, better decisions by leveraging Artificial ...