Dashboards show what happened, copilots guess why; teams need multi-agent AI analysts that actually explain problems and tell ...

Explainable UX methodology showing real-time agent data gathering and reasoning processes The fundamental premise of ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

Learn Google Antigravity, a free AI IDE with an Agent Manager and Artifacts view, so you automate workflows faster and avoid ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

Multi-agent systems are on the rise, taking us further toward a hybrid era in which every action, big or small, can trigger a ...

Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...

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 ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...