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Redapt | Data & Analytics

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OEM Appliances: What They Are, When They Make Sense

Independent software vendors (ISVs) often face a choice when it comes to releasing new products into the wild. They can simply make your software available for download to customers, or you can work...

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Bridging the Gap Between IT and Data Science

As more and more enterprises are leaning into newer analytics technologies like artificial intelligence (AI) and machine learning (ML), many are hitting a wall when it comes to effectively putting...

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Want to Gain a Real Competitive Edge? Increase Your Organization’s Data Literacy

Data scientists may be on the front lines of enterprise data analytics but in today’s business, the organizations that thrive are using data throughout their ranks.

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Enterprise Technology Trends for 2021 and Beyond

Now that 2020 is in the rearview mirror, we’re looking forward to things gradually returning to the new normal.

Before we focus on the coming months, however, we’d be remiss if we didn’t pause to...

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How to Achieve Innovation in IoT

Editor's Note: This blog post was originally published on October 10, 2018 and has been updated for the newest trends and information.

When we think of IoT devices, we reflexively think of our...

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Maximizing Your Retail Business with Advanced Analytics

Editor's Note: This blog post was originally published on July 2, 2018 and has been updated for the newest trends and information.

As retail patterns have had to pivot 360 degrees, with most...

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Leveraging Big Data To Unlock Your Data Capital

Editor's Note: This blog post was originally published on September 5, 2019 and has been updated for the newest trends and information.

Companies are realizing more and more that the key to...

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Building a Modern Data Platform on GCP

If your organization is struggling to effectively use data, chances are these are among the driving factors:

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Designing Infrastructure to Leverage Compute and Storage for Data Analytics

In the past five years alone, advanced analytics have been massively adopted across industries as businesses push to make smarter decisions more rapidly.

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New Resource: Designing High-Performance Data Infrastructure for AI

How ready is your business to adopt artificial intelligence (AI) quickly?

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