Insights
Redapt | AI/ML (2)
- Enterprise Infrastructure
- Data & Analytics
- AI/ML
- Cloud Adoption
- DevOps
- Featured
- Cloud Native
- Application Modernization
- Kubernetes
- Workplace Modernization
- Google Cloud Platform (GCP)
- Multi-Cloud Operations
- Dell EMC
- Security & Governance
- Tech We Like
- Business Transformation
- IoT and Edge
- Managed Services
- Microsoft Azure
- News
- Emerging Tech
- Cloud Migration
- NVIDIA
- Operations
- Amazon Web Services (AWS)
- Anthos
- Data Strategy
- Events
- Google Resale
- Rancher
When Do I Need to Use Deep Learning?
The most routine data science tasks don’t need the sheer horsepower that deep learning models provide.
But as enterprises start using larger data sets, there are a growing number of complex tasks...
Where Will Artificial Intelligence Take Enterprises in 5 Years?
In early 2020, when Oxford Economics and NTT DATA surveyed a thousand business leaders about their plans for adopting artificial intelligence (AI), 96% responded they were actively researching AI...
How Healthcare Enterprises Are Leveraging Predictive Analytics
According to Axios, in 2018 alone, Americans spent an estimated $3.65 trillion on healthcare. For some context, that’s more than the total GDP of Brazil.
With costs continually increasing, healthcare...
Get Ready for the Future of Machine Learning
A joke you've likely heard before: "80 percent of time is spent preparing data. The other 20 percent is spent complaining about preparing the data."
How to Bring Your ISV Application to the Cloud
It’s one of the ironies of business: the more popular your product becomes, the harder it is to keep up with demand.
Even products we don’t normally think of as dependent upon traditional logistics,...
AI & Analytics While Ensuring Data Privacy, Compliance, and Security
Editor’s Note: This post was originally published on May 6, 2020 and has been recently updated to include the latest insights and best practices.
Building a Solid Cloud Adoption Framework for 2021
Over the past year, the need to expand remote work capabilities has forced a great many enterprises to accelerate their cloud adoption plans.
The Key Difference Between Business Intelligence and Advanced Analytics
Note: This post was originally published on March 19, 2020, and has been updated with new information.
Information, as they say, is power.
How Managed Analytics Services Is Key to Getting Insights from Data Quickly
As the availability and usage of data has exploded in recent years, many enterprises have struggled to fully leverage the amount of information they now have at their disposal.
It’s one thing to...
Why You Need a Data Maturity Model
Effectively putting data to work in your organization takes more than simply hiring data scientists to crank out models.