Remove tag data accuracy
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Introducing the Pure//Launch Blog

Pure Storage

Introducing the Pure//Launch Blog by Pure Storage Blog The Pure Storage data storage platform is the most innovative in the industry, constantly evolving to meet your data storage needs. Improved Efficiency Meets Data Reliability Purity is the software heart that powers the Pure data storage platform.

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10 Ways to Improve Data Management with Automation

Pure Storage

10 Ways to Improve Data Management with Automation by Pure Storage Blog “That’s why they call it work, Son.” IT and data storage have many tasks that are repetitive and unavoidable. Automation is also transforming data management , bringing about improvements in standardization, efficiency, accuracy, security, and compliance.

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Machine Learning vs. AI

Pure Storage

In simple terms, AI is a wide field of technology that’s used to create intelligent machines, while ML is a subset of AI that uses algorithms to learn from data independently of human intervention. . Machine learning (ML) is a subset of AI that uses algorithms to learn from large volumes of historical data without the intervention of humans.

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Top 4 Ways AI in Healthcare Is Making a Difference

Pure Storage

One of the greatest benefits of AI is its ability to process and analyze mountains of data, detect abnormal patterns, and learn from previous experiences. AI would quickly process data, find correlations, and offer insights, but a human ultimately had to look at that information to make a diagnosis. AI can change that.

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GIS in Databricks

Advancing Analytics

Introduction The topic of Geographic Information Systems (GIS), finds its way into the data analytics arena all too often without much consideration of how to implement it within big data solutions. In many contexts GIS data is large! Many big data projects that require GIS call upon external software tools to handle the data.

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Intelligent Alert Grouping: What It Is and How To Use It by Quintessence Anx

PagerDuty

In this blog post series we’ll be discussing the different ways that you can improve the accuracy of Intelligent Alert Grouping for your specific needs. Briefly, IAG uses machine learning to build patterns from the data you send into the platform so that it can start to group alerts by their respective incidents for you.

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