Remove Data Engineering Remove Data Silos Remove Natural Language Processing
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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning Blog

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling.

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Data Intelligence empowers informed decisions

Pickl AI

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. Implementing transparent data privacy policies. Social Media Analytics Analyses sentiment and improves brand perception Handling unstructured data.

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Enable data sharing through federated learning: A policy approach for chief digital officers

AWS Machine Learning Blog

Duration of data informs on long-term variations and patterns in the dataset that would otherwise go undetected and lead to biased and ill-informed predictions. Breaking down these data silos to unite the untapped potential of the scattered data can save and transform many lives. Much of this work comes down to the data.”

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