Salvatore Salamone

RTInsights sits down with Rohit Choudhary, Founder & CEO at Acceldata.io, to discuss data challenges enterprises face today and how data observability can help.

The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between applications.

In this week’s real-time analytics news: Databricks and Vantiq introduced retail-specific offerings, AWS announced the general availability of Hpc6a instances for tightly-coupled HPC applications, and more.

Many businesses are considering the use of observability based on continuous intelligence to help improve the availability and performance of their applications and services.

In this week’s real-time analytics news: BMC adds new capabilities to its Automated Mainframe Intelligence portfolio, Intel intros 12th Gen Core Processors for edge, and more.

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.