The most interesting AI development of 2026 is not happening at Google or OpenAI. It is happening in a dental clinic in Haifa ...

Proactively manage and operate multi-agent workflow and tools actions in run-time The IT department of every company is ...

The future of software creation lies not in writing more code, but in architecting ecosystems of collaborative AI agents.

Michael Wegmüller has more than 20 years of experience in AI. He is cofounder of Artifact SA and a widely recognized AI business expert. Multi-agent AI systems (MAS) represent the next step in ...

Fuse EDA AI Agent supports NVIDIA Agent Toolkit, Nemotron models, and NVIDIA AI infrastructure for enhanced tool calling and ...

Platform unifies AI cost visibility, attribution, and financial controls across GenAI services, autonomous agents, and ...

According to a Deloitte survey, nearly 60% of the AI leaders and representatives are struggling with adopting AI agents, primarily due to integrating with legacy systems and addressing risk and ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Agentic CX shifts from assistance to execution. Unlike chatbots or copilots, these systems plan and complete multi-step ...