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 ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

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 ...

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 ...

Nvidia’s latest generation of open models builds on the growing development of multi-agent systems and expands the company’s sovereign AI efforts.

Enterprises have worked for decades to develop their cybersecurity architecture and protect against data breaches. Booming GenAI adoption has challenged cybersecurity efforts the past couple years, ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...