Insights

Blog

Why 90% of Machine Learning Models Never Make it to Production

There’s a lot of potential in Machine Learning (ML). Unfortunately, there are also a number of obstacles companies hit when it comes to realizing that potential.

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Succeeding With Machine Learning Through Kubeflow

By some estimates, close to 90% of Machine Learning (ML) projects developed by data scientists fail. This translates into wasted resources and the potential of ML being deployed at a snail’s pace.

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4 Elements of a Sustainable Datacenter You’re Probably Not Thinking About Right Now (But Should)

It’s no secret there are substantial costs in running your own datacenter—both monetarily and for the environment.

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Blog

New Whitepaper: Big Data Made Simple

For close to a decade now, Hadoop has provided a workable solution for on-premises Big Data workloads. But times change, and now more and more companies are turning to the cloud for their Big Data...

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How to Choose a Public Cloud App Modernization Partner

The transition to the public cloud is not easy.

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Case Study: Hybrid Cloud Enablement

From Dipping Toes into Containerization to Diving into K8s

When and iconic gaming company was ready to go all in on Kubernetes, they partnered with Redapt for help.

In a nutshell

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Navigating The Challenges of Transitioning Data Workloads To The Cloud

The idea of moving data workloads to the cloud can be daunting, especially if your company has always relied upon on-premises solutions.

Why? Because while the end goals of utilizing data may be the...

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Case Study: Using Big Data to Easily Identify Fraud with Zelis

A Big Data Solution to a Big Insurance Problem

When healthcare technology company Zelis needed a Big Data solution to easily identify fraudulent claims, Redapt’s data scientists provided them with a...

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How To Unlock the Microservices Advantage For Your Enterprise

Speed to market is a competitive edge. If your company is still employing traditional software development processes—monolithic apps, waterfall development, and slow deployments—then embracing...

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Debunking Myths Around The Power of Cloud-Native in Edge Computing

Edge computing is the process of bringing compute and storage closer to where it’s needed. This has some obvious benefits, including:

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