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 ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

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 ...

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

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 ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...