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 ...

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

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 ...

This Claude Code approach from its creator shares eight steps. Make Claude Code projects smoother while improving speed and code quality ...

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 ...

With Starburst AI, built on the company’s foundational data lakehouse system, the company looks to make it easier to “operationalize the agentic workforce” by unifying AI agents with governed data ...

Helium AI positions itself as a Slack-like, enterprise-grade AI execution layer that consolidates analytics, documents, ...

Enterprises looking to deploy multiple AI agents often need to implement a framework to manage them. To this end, Microsoft researchers recently unveiled a new multi-agent infrastructure called ...

‘It's just so obvious that these AI agents need to be connected. There are disparate but related tasks you need to do, and now these agents can actually collaborate and make them happen, which means ...