Imagine trying to juggle multiple tasks at once—researching, writing, editing, and organizing—all while keeping everything running smoothly. It’s a lot, right? Now imagine having a team of specialized ...

The organizations treating AI as a stack, rather than a single model integration, are building durable competitive advantages ...

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 ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

Cognizant (Nasdaq: CTSH) today announced that ServiceNow AI Agents now work with the Cognizant Neuro® AI Multi-Agent Accelerator, giving enterprises a unified environment to orchestrate AI agents ...

By merging transactional and analytical workloads, LTAP promises fewer pipelines, lower costs, and better governance.

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

The bottleneck in agentic computing isn’t a lack of orchestration; it is the orchestration itself. Building multi-agent ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...