I consistently see organizations asking, "What can we do with AI agents?" That's the wrong question. It starts with the ...

While large language model technology streamlines routine cognitive tasks like drafting, autonomous solutions represent a major shift by actively pursuing objectives rather than simply responding to p ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

CRN breaks down the top agentic AI products and tools of 2026 so far—from Cisco Cloud Control and Nutanix Agentic AI to Microsoft Copilot Cowork and Databricks Genie One. From Amazon Web Services, ...

Image courtesy by QUE.com As we cross the threshold of 2026, the conversation surrounding Artificial Intelligence has ...

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.

Most organizations know they need to govern agentic output. Far fewer have a clear, practical path to doing so. Today, Sonar, a global leader in AI code verification, governance, and efficiency is ...

A new agentic-AI tool will continuously scan intelligence feeds and operational networks to provide U.S. military commanders ...

Nokia introduces agentic AI framework in Network Services Platform to enable trust-based AI operations for IP networks Nokia NSP adds an agentic AI framework that lets operators deploy AI agents ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Telco vendors are rushing agentic AI into OSS and BSS stacks – hard, at DTW Ignite this week. Nokia has announced work with AWS and Databricks to build the data, cloud, and control layers for ...