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 ...

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 ...

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 ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

At the QCon San Francisco Conference 2024, Victor Dibia of Microsoft Research discussed the challenges of building multi-agent systems powered by generative AI models. Dibia highlighted the immense ...

Anthropic’s Claude Code Agent Teams support real-time peer coordination and split-pane monitoring in tmux or iTerm2, ...

AWS is doubling down on AI agents with the announcement of multiagent capabilities on its Amazon Bedrock platform. During his keynote at the AWS re:Invent conference, AWS CEO Matt Garman said ...

In today's enterprise landscape, a simple business request rarely follows a straight line. A purchase requisition might evolve into a multi-threaded process involving data enrichment, supplier ...