Emerging opportunities lie in advancing cockpit AI assistants from suggestive roles to action-oriented "agents," capable of completing tasks autonomously, such as ordering and payments. Key market ...
Britive integrates with CallSine to enforce identity governance and secure access across autonomous multi-agent AI ...
Orchestration across multi-agent systems and platforms is a critical concern — and a key differentiator for IT leaders hoping ...
Multi-Agent Systems In Business: Evaluation, Governance And Optimization For Cost And Sustainability
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
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 ...
What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...
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 ...
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 ...
Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...
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