The tremendous financial and strategic capital enterprises have poured into artificial intelligence is yielding a perplexing and frustratingly low return on investment. Despite massive investment and widespread adoption, many enterprise AI strategies are significantly underperforming, failing to
With the rapid rise of large language models in medicine, the conversation has shifted from "can AI do this?" to "can we trust it?" To explore this critical issue, we sat down with Laurent Giraid, a technologist whose work focuses on the intersection of artificial intelligence, machine learning,
The relentless demand for faster, more complex software development has pushed the industry far beyond simple autocompletion, ushering in an era where artificial intelligence does not just assist developers—it actively collaborates with them. The emergence of open-source agentic coding models like
A fundamental transformation is underway, not in how software is written, but in the sheer volume of applications that can be built, threatening to overwhelm the very infrastructure designed to support them. In this landscape, Databricks has introduced Lakebase, a serverless operational database
The rapid proliferation of generative AI tools has created a tantalizing yet deeply frustrating paradox for software development teams worldwide: the ability to generate visually stunning, functional prototypes in minutes that are simultaneously useless for actual production environments. This
With the explosive, grassroots adoption of open-source AI agents, a new and largely invisible attack surface has emerged within organizations. We sit down with Laurent Giraid, a leading AI technologist, to explore the profound disconnect between the rapid innovation in agentic AI and the lagging
