RT Insights | Real Time Business Insights

The Agentic AI Foundation (AAIF), which focuses on the development of an open-standard agentic AI stack, announced that 57 new members have joined the effort over the past quarter.

In this week’s real-time analytics news: The Linux Foundation launched the Tokenomics Foundation to focus on the creation of open industry standards, benchmarks, and best practices for the economics of AI.

In this week’s real-time analytics news: Snowflake introduced Cortex AI Gateway and other AI security enhancements for trusted agent interoperability.

In this week’s real-time analytics news: Multiple company and partner announcements from the AMD Advancing AI 2026 conference.

In this week’s real-time analytics news: The Open Semantic Interchange initiative has been accepted into the Apache Incubator and renamed to Apache Ossie.

In this week’s real-time analytics news: IBM updates IBM Bob, its agentic software development platform.

Samsara’s Beyond 2026 keynote showed a company transforming its hardware network into an even more powerful AI operating layer for physical operations, from fleet safety and maintenance to cargo tracking and custom agents.

The uncomfortable truth is that a significant portion of platforms currently marketed as “agentic AI” are still running on rule-based, if/then logic.

Enterprises don’t run on demos. They run on trust. Governance embedded in the execution layer is what turns AI from a demo into a system a business can actually run on.

Why the next frontier in artificial intelligence isn’t a bigger model; it’s an independent layer that watches the model and has the authority to intervene.

To understand why most chatbot deployments fall short today, it helps to understand the three generations of AI capability.

If the history of artificial intelligence is viewed as a progression of architectural advances, Adaptive Intelligence may represent the next logical extension.