Technology Blog - Redapt | Artificial Intelligence (5)

Effectively putting data to work in your organization takes more than simply hiring data scientists to crank out models. 

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...

2020 has brought about a lot of changes—most of them unwelcome. For most businesses, one of those changes was the shift, almost overnight, to having a remote workforce. 

Redapt was one of them.

Every business has its own list of mundane tasks. Forms that need to be filled out, data that needs to be cataloged, calculations that need to be made, and so on. 

These tasks are not just...

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

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...

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.

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...

Designing enterprise infrastructure that fits the requirements of multiple teams for workload performance can be a challenge.

In this webinar, Redapt experts Amie Mason and Bryan Gilcrease discuss how your organization can unlock its data capital and adopt AI technology.

Machine learning (ML) is an idea that has taken the business world by storm in recent years. But for many enterprises, it has remained just that—an idea. In fact, by some estimates, 90% of ML models...