The past three months has seen Zebrium reach several major milestones! We moved from beta to production and our platform is now in use by industry leading customers who rely on Zebrium to keep their production applications running. We were named in the Forbes AI50 list as one of “America’s Most Promising Artificial Intelligence Companies”.… Continue reading Zebrium Named a 2020 Gartner Cool Vendor
Category: AI/ML
Zebrium Named a 2020 Gartner Cool Vendor
Security is a fundamental tenet for any organization that develops technologies for deployment in today’s enterprises. It’s not enough to have a good idea and to build an appliance, create a service or application, or write code that manifests that idea for customers that find it worthwhile. The product must be hardened against the many… Continue reading Modernizing Your IT Operations with a Secure Foundation
Where Is the AI/ML in ScienceLogic SL1, and How Does It Help Me?
Introducing SL1 Colosseum V2. Designed to help you deliver better business outcomes faster.
SL1 Colosseum V2 Release: Another Step Closer to Intelligent Operations & AIOps
Major changes are happening in NetOps. Does your organization have the right toolset to keep up?
What is NetOps? Everything You Need to Know
We often get asked how Zebrium ZELK Stack machine learning (ML) compares to native ML for Elasticsearch. The easiest way to answer this is to see the two technologies side by side. This short (3-minute) video demonstrates what each solution is able to uncover from the exact same log data. No manual training, rules, or… Continue reading ZELK vs ELK: Zebrium vs Elastic Machine Learning
ZELK vs ELK: Zebrium vs Elastic Machine Learning
We covered the broad strokes of artificial intelligence (AI), machine learning (ML), and the differences between the two in our last blog. Now let’s delve much deeper into ML.
AIOps Part 2: What Flavor of Machine Learning is Right for You?
If you are wondering, “What is artificial intelligence? What is machine learning? What’s the difference?” this primer may help clear up some of the confusion, specifically in realm of IT operations.
AIOps: What is Machine Learning? Is it Artificial Intelligence?
What are the differences between a data warehouse and a data lake? Are they the same? How are they different? Do I need one? Do I already have one?