Deep image models have dazzled with accuracy, yet the most consequential story sat just out of view: not single neurons lighting up for neat human concepts, but webs of interconnected units assembling meaning layer by layer into circuits that actually drive what the model predicts and why it
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
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
Imagine a scenario where millions of dollars are poured into cutting-edge technology—AI, cloud services, and advanced applications—yet a significant portion of that investment fails to deliver expected returns. This is not a hypothetical situation but a reality for many organizations grappling with
Setting the Stage for Transformation Imagine a business landscape where IT systems don't just follow commands but think, adapt, and act independently to drive revenue and innovation. This is the reality unfolding across North American enterprises as agentic AI—artificial intelligence capable of
I'm thrilled to sit down with Laurent Giraid, a renowned technologist whose deep expertise in Artificial Intelligence has guided countless enterprises through the complexities of machine learning, natural language processing, and the ethical challenges of AI deployment. With years of hands-on
