The rapid pace of generative AI development presents a unique architectural challenge: how do you build production-ready systems when the underlying infrastructure components change every few months? Box CTO Ben Kus asserts that to succeed with AI, it’s more critical to be prepared for change than to make the correct choice now. The engineering advantage is no longer just picking the perfect stack, it’s building systems, abstractions, and teams that can absorb the next change without starting from zero. Ben will discuss lessons learned from managing model neutrality, deploying AI across billions of files, and why building an adaptable, directed-graph architecture today is the best way to scale your enterprise AI solutions tomorrow.
Summary
Speakers
Ben Kus
CTO @ Box
Ben Kus is the Chief Technology Officer at Box, where he leads technology and AI strategy to help enterprises securely unlock insights from their unstructured data. Ben’s career spans engineering, product leadership, and startup innovation—including co-founding Subspace (acquired by Box) and being an early employee at BigFix (acquired by IBM), where he later served as Chief Architect of Mobile Security. Ben holds a degree in Computer Science from UC Berkeley.
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