Featured blog post When Does Managed Analytics Make Sense?

Pulling data shouldn’t be back-breaking work—weekend yard work already takes care of that. 

Disruption has always played a major role in business.

Data is just one of the common bottlenecks to artificial intelligence (AI)/machine learning (ML) projects. An even bigger hurdle—one that trips up most enterprises—is actually putting AI and ML...

In business, the name of the game these days is adaptability.

In order to stay ahead of the competition, you need to be able to pivot along with customer behavior.

For many companies, this means...

Google has an innovative new program aimed at helping startups and other digital native companies successfully leverage the speed and flexibility of Google Cloud Platform (GCP) for the deployment of...

Moving to the cloud can be intimidating and complex—especially when you’re faced with regulatory compliance requirements.

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.