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Technology Blog - Redapt | Data Management and Analytics (6)
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How the Shift to Remote Work Has Impacted Data Security Governance
According to a recent report from McKinsey, in April alone, an estimated 62% of those employed in the United States had started working from home due to the pandemic. In comparison, that percentage...

High-Performance Networking to Support Critical Workloads for AI and ML
Among the list of challenges organizations often encounter when adopting advanced tools like artificial intelligence (AI) and machine learning (ML), one that can easily be overlooked is the need for...

The Key to Unlocking the Value of Your Unstructured Data
Every minute, trillions of bytes of data are being produced. The vast majority of this information is unstructured data—the product of an ever-increasing number of connected devices, photographs and...

Want to Save IT Costs? Take a Look at How You Handle Your Data
The cloud delivers unprecedented scale and compute power. But in order to leverage these capabilities, organizations need to go about managing their data in the right way.

Tech We Like: Tools for Data Migration to Google Cloud
Migrating your enterprise data to the cloud requires a solid roadmap. You need to know what you’re trying to achieve from your migration, what your data sets look like, and how you’re going to ensure...

Watch the Webinar: Taking the Leap into AI
In this webinar, Redapt experts Amie Mason and Bryan Gilcrease discuss how your organization can unlock its data capital and adopt AI technology.

How Predictive Analytics Can Help Businesses Through Times of Uncertainty
Risk management is all about planning for the expected unexpected.

A Scaling Solution for Enterprises
With the explosion in unstructured data, enterprises have more information than ever at their disposal to make smart decisions.

What IT Leaders Must Do to Succeed with AI, ML, and Analytics
A few months ago, the Wharton School of the University of Pennsylvania published the article Four Ways Leaders Can Gain Value from AI and Advanced Analytics.

How to Build a Successful Data Analytics Platform
Business intelligence, advanced analytics, machine learning—each requires arobustdata platformto be effective.