As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
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 ...
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 ...
This weekend Open AI has introduced Swarm a “educational framework exploring ergonomic, lightweight multi-agent orchestration“. Evening developers to use the experimental sample framework to build ...
For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...
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 ...
As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent that the next ...
The researchers found single AI agents do better at sequential tasks, multi-agent workflows at ones that can be done in ...
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 ...
Inside Claude-Flow: Using Multi-Agent AI to Modernize Legacy Applications Faster Your email has been sent Multi-agent AI orchestration frameworks like Claude-Flow help teams modernize legacy ...
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