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
Holiday dashboards reveal a new center of gravity Holiday dashboards told a blunt story: AI spending spread across many vendors, models, and modes, and the results finally showed up in steady KPIs rather than viral demos. Procurement cycles pointed away from a single flagship API and toward
Audiences may chuckle at machine-written quips, but new evidence argues the laugh line hides a deeper gap between fluent mimicry and real comic sense, and that gap matters whenever meaning and nuance do the heavy lifting. A study presented at EMNLP by teams from Cardiff University and Ca’ Foscari
Amid rising pressure to translate scientific breakthroughs into tangible advances in energy, materials, and national security, a new federal program set out to knit the nation’s most advanced compute, data, and laboratory assets into a single engine for discovery that learns as it works and
Global AI adoption hit a hard ceiling as privacy rules, board scrutiny, and sector mandates stalled enterprise rollouts until sensitive conversations, uploads, and model outputs could reliably stay within national borders. OpenAI’s expansion of data-at-rest residency across the EEA and Switzerland,
Laurent Giraid has spent years at the intersection of AI systems and the guardrails that make them safe and useful. Today, he’s focused on helping enterprises move beyond proofs of concept to production, where resilience, security, and governance determine real outcomes. In this conversation, we
