Coralogix, a leading provider of modern observability solutions, is releasing Olly, an autonomous observability agent that independently investigates and surfaces production issues in real time.

SIOS Technology Corp., a leading provider of application high availability (HA) and disaster recovery (DR) solutions, is releasing LifeKeeper v10, featuring the new LifeKeeper Web Management Console ...

Vultr, one of the largest privately-held cloud infrastructure companies, is marking a major milestone in its long-standing strategic collaboration with AMD to advance and scale AI workloads worldwide.

Datadog, Inc., the monitoring and security platform for cloud applications, is entering into a new strategic collaboration agreement (SCA) with Amazon Web Services (AWS)-helping customers de-risk ...

Red Hat, a leading provider of open source solutions, announced an expanded collaboration with Amazon Web Services (AWS) to power enterprise-grade generative AI (gen AI) on AWS with Red Hat AI and AWS ...

IBM announced its intention to acquire Confluent, Inc., the data streaming pioneer, signing a definitive agreement under which IBM will acquire all the issued and outstanding common shares of ...

This year has seen a variety of changes in the AI landscape, from the proliferation of agents to major questions around AI's true return on investment. In the end, it's all about the data.

IBM and Cisco are partnering on the groundwork for networked distributed quantum computing, to be realized as soon as the early 2030s.

Enterprises are under pressure to reduce operating costs and boost innovation-making better, faster, and more affordable ...

Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), is introducing new capabilities in Qlik Open Lakehouse that bring streaming ingestion and ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals ...

Poor-quality test data leads to poor production applications, compliance risks, and inefficiencies that will be costing the organization time, money, and very soon its competitive edge.