Salvatore Salamone

An AIOps solution can look at the aggregated data to detect patterns from work-from-home environments and predict problems before they arise and cause disruption to employee productivity.

AI and machine learning can help automate incident response by assessing situations, prioritizing alerts, and aiding human operators.

Observability can help identify where Log4j is used and minimize any potential impact it may have until the software component is updated.

Pairing monitoring and observability is beneficial because not all problems identified by monitoring tools require sophisticated investigation.

This year’s AI Summit returned to an in-person event where many of the sessions focused on the need for responsible AI and ethical AI to eliminate bias.

Companies are turning to remote service and condition monitoring to cut costs, make more efficient use of service staff, and vastly improve the operations of their equipment in the field.

In this week’s real-time analytics news: The MLCommons Association announced datasets to advance innovation in machine learning research and commercial applications, and more.

As the need for real-time data expands, organizations will need to operate all three of these meshes at internet scale with enterprise-grade capabilities.

Smart systems powered by 5G and edge technologies have the potential to improve safety on the roads and in industrial facilities. Jillian Kaplan of Dell Technologies has a strong personal interest in developing such technology for good.

A cloud migration can benefit from an observability solution that includes multi-cloud monitoring and application observability, as well as high scalability.

In this week’s real-time analytics news: The Digital Twin Consortium announced an interoperability framework, The Linux Foundation will host the Cloud Hypervisor project, and more.

In addition to Amazon’s announcements, Sumo Logic announced four new Sumo Logic AWS Quick Start integrations and expanded tracing visibility into AWS Lambda functions.