Technology Blog

In this webinar, Redapt experts Paul Welch and Bryan Gilcrease discuss how the Redapt ML Accelerator can help your organization quickly get started on its ML (machine learning) journey.

The flood of data now available to enterprises is fueling a revolution in data science.

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

Proper governance of data has always been important. Now, with the dramatic increase in remote work, it’s absolutely critical.

When it comes to migrating to GCP or other cloud providers, you likely have two primary concerns: 

1. How much will it cost?
2. How big of a disruption will it be?

In music, The Edge is an incredible guitar player for U2.

In tech, it’s a powerful tool for real-time analytics, enhanced security, and the creation of innovative customer experiences at scale.

The numbers aren’t exactly encouraging.

According to some estimates, 90 percent of enterprise machine learning (ML) models never even make it to production.

Many large enterprises, SaaS, and hyperscale organizations continue to scale their datacenter infrastructure as demand increases for their services.

It’s no secret that 2020 was an especially challenging year and, as a recent article in Forbes points out, it’s leading to enterprises accelerating their cloud adoption.

Under normal conditions, deploying new datacenter infrastructure is complicated. Supply chain management, scheduling, travel, installation—each of these steps to get new hardware up and running...