Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...

ZDNET's key takeaways Agent deployments differ from traditional software launches.Governance can not be an afterthought with ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

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 ...

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 ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI. Subscribe to our newsletter for the latest sci-tech news updates. That's where Sarra ...

Defying traditional agentic AI, Composabl agents make decisions based on perception and feedback, helping revolutionize the landscape of industry automation RICHMOND, Va.--(BUSINESS WIRE)-- Apex ...

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 ...

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...