When a single prompt can trigger chains of reasoning, tool calls, and multi-modal outputs that ripple through customer experiences and compliance obligations, the hard part of AI no longer lives in model training but in proving that the whole agent behaves correctly under pressure and at scale.
Dustin Trainor sits down with Laurent Giraid, a technologist steeped in AI systems, machine learning, and the ethics that keep them safe and useful at scale. With MCP crossing its first year and surging to nearly two thousand servers, the conversation spans the hard edges of taking agentic systems
Why AI agents keep forgetting—and why it’s a business problem Long-running agents still behave like short-term guests: they arrive with a clean slate, work within a finite context window, and forget the conversation as soon as the session ends unless someone leaves breadcrumbs long enough to
From dazzle to discipline: why backend intelligence now sets the pace When quarter-end pressure collides with fragile supply chains and fast-changing compliance rules, the flashiest AI rarely protects margins; the quiet systems buried in procurement, finance, and risk stacks are the ones that keep
Setting the Stage for AI Transformation Imagine a world where enterprises can harness the full potential of artificial intelligence without grappling with insurmountable technical barriers. At SC25, Dell Technologies and NVIDIA have turned this vision into reality, unveiling groundbreaking
I’m thrilled to sit down with Laurent Giraid, a trailblazing technologist whose expertise in artificial intelligence, machine learning, and natural language processing is reshaping the world of sports. With a keen focus on ethical AI applications, Laurent has been at the forefront of integrating
