VB Transform 2026
VB Transform 2026 on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on vb transform 2026 in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around vb transform 2026, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Intuit scrapped its own AI agent architecture twice in four months. At VB Transform 2026, its AI VP called that the fast path
Intuit’s journey with agentic AI highlights a crucial truth: rapid iteration is essential. The company initially built a fleet of specialist agents, then pivoted to an orchestration layer, only to rebuild the entire architecture within 60 days after encountering limitations in context retention. This experience, shared at VB Transform 2026, underscores the challenges of scaling agent-based systems and the importance of prioritizing customer outcomes. As Brex demonstrated, observing agent behavior can be a powerful tool in policy creation.
Cohere VP says enterprise AI sovereignty requires control of the full agent stack at VB Transform 2026
At VB Transform 2026, Cohere VP Rachad Alao emphasized that true enterprise AI sovereignty demands control of the entire agent stack—from GPUs and infrastructure to governance and connectors. Alao, formerly at Google and Meta, argued that data residency and operational control are paramount for institutions like banks and hospitals. He highlighted the exponential rise in token utilization driven by complex agent workflows, advocating for strategic model routing and the use of the "right model for the task.