Technology

overops

Why We Are Joining CNCF

OverOps has joined the Cloud Native Computing Foundation (CNCF), reinforcing our commitment to support our customers and partners on their cloud native journeys. We’re excited to announce that OverOps has joined the Cloud Native Computing Foundation (CNCF)! CNCF is part of the nonprofit Linux Foundation and is the vendor-neutral home for many of the fastest-growing open source projects, including Kubernetes, Prometheus, and Envoy.

canonical

Edge AI in a 5G world - part 4: How your business can benefit from 'smart cell towers'

In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In part 3 we focused on the key technical barriers that 5G and Edge compute remove for AI applications. In this part we will summarise the IoT use cases that can benefit from smart cell towers and how they will help businesses focus their efforts on their key differentiating advantage.

How to Achieve Rapid Diagnostics with AI-Powered Root Cause Analysis

A miniseries on how to get to the next level of transformation in today’s digital world. JF Huard, CTO, Data Science & AIOps at AppDynamics, demonstrates how to use machine learning to automate anomaly detection, so you can quickly make critical connections between application and business performance.
canonical

Edge AI in a 5G world - part 3: Why 'smart cell towers' matter to AI

In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In this part we will focus on the key technical barriers that 5G and Edge compute remove for AI applications.

bitrise

What are the characteristics of a Mobile DevOps environment?

Shipping the right app with the right functionalities to the right customer, at the right time is how you boost your ranking in the app store. Some of the key steps in this process are: continuously releasing high-quality software, listening to feedback, and providing new features to users — before they even know that they want them. To achieve all of this, app developers need two main things: automation tools and a growth mindset.

elastic

Feature importance for data frame analytics with Elastic machine learning

With Elasticsearch machine learning one can build regression and classification models for data analysis and inference. Accurate prediction models are often too complex to understand simply by looking at their definition. Using feature importance, introduced in Elastic Stack 7.6, we can now interpret and validate such models.