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Augmented analytics

Dataconomy

Augmented analytics is revolutionizing how organizations interact with their data. What is augmented analytics? Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics

The Data Administration Newsletter

In fact, in 2017, Gartner predicted that 40% of data science […] If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data scientist movement.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Opportunity identification : Cloud analytics empowers organizations to pinpoint successes, detect problems, and identify opportunities swiftly. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” Sallam | Cindi Howson | Carlie J.

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What Is Data Intelligence?

Alation

HBR Review May/June 2017. Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Data catalogs then integrate compliance at the point of consumption, so people are alerted to sensitive data where it lives.