Orchestration across multi-agent systems and platforms is a critical concern — and a key differentiator for IT leaders hoping ...
The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...
Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the interoperability challenge by functioning as a universal adapter for AI agents.
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 ...
"The next phase of AI will be defined by platforms that scale," said Steve Chase, U.S. vice chair of AI and digital innovation. "Workbench is KPMG's single, global AI platform—built on an ...
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 ...
What if the future of work wasn’t just about automation but about collaboration, between humans and intelligent agents? Imagine a world where multi-agent AI systems seamlessly coordinate tasks, adapt ...
Data science and artificial intelligence development platform company Zerve AI Ltd. today announced a new multi-agent system engineered specifically for enterprise-grade data and AI development. The ...
Onix's 2026 AI Trends Report reveals a significant shift in enterprise operations, moving beyond experimental tools to ...
Let’s get started with the frameworks and know about them in depth. Langchain is an open-source framework that enhances and simplifies the development of apps powered by large language models (LLMs) ...
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