In today’s rapidly evolving tech landscape, securing agentic AI systems and non-human identities is a critical challenge for enterprises. I’m thrilled to sit down with Laurent Giraid, a renowned technologist with deep expertise in artificial intelligence, machine learning, natural language
In a world where artificial intelligence promises to redefine industries, a staggering reality emerges: many enterprises are trapped in a cycle of stagnation despite pouring billions into cutting-edge AI tools, unable to harness their full potential. Picture a multinational corporation, armed with
Setting the Stage for Transformation in Private Capital In the sprawling landscape of the $16 trillion global alternatives market, private capital—spanning private equity, private credit, and real estate—continues to grapple with operational inefficiencies rooted in outdated systems and manual
As a seasoned technologist with a deep focus on Artificial Intelligence, Laurent Giraid has carved out a reputation as a thought leader in machine learning, natural language processing, and the ethical implications of AI. With years of experience driving innovation and shaping strategic direction
In the fast-evolving landscape of artificial intelligence, a staggering challenge looms large: the computational inefficiency of transformer models, which have dominated since their inception nearly a decade ago, combined with the urgent need for better solutions. With context lengths expanding to
In the rapidly evolving landscape of enterprise AI, a surprising challenge has emerged as a significant barrier to successful deployments, and it's not about the technology itself but rather the human element involved in defining success. Recent research from Databricks highlights that while AI
