From Experimentation to Production AI

As AI adoption accelerates, enterprise success is no longer defined by GPU volume, but by the ability to operationalize AI reliably at scale—aligned with real production demand, existing IT environments, cost controls, and long-term platform durability.

This panel brings together Vinita Ananth, Senior Director of Product at Nebius—a global leader in AI-native infrastructure for high-performance production workloads. A seasoned AI product and engineering executive, she has held prior leadership roles at both Amazon and Microsoft. Joining her is Chris Morgan, CEO of 7sg.ai and former VP of AI Solutions at VAST Data, a leading enterprise AI deployment expert with numerous large-scale implementations integrating AI applications, software, and systems across global industries. The discussion is moderated by Suresh Vasudevan, CEO of Clockwork.io, whose career spans building and operating large-scale enterprise platforms designed for reliability, resiliency, and cost-efficient performance.

Together, they will examine how enterprises move AI from experimentation to mission-critical production by aligning full-stack infrastructure with real demand to support mixed AI workloads efficiently, securely, and at scale. The discussion will focus on consumption-driven infrastructure expansion, improving cluster utilization, and augmenting—rather than replacing—existing IT investments to connect the “AI future” with the enterprise’s substantial “IT past.” This approach enables dependable performance, predictable economics, and durable business impact while preserving enterprise-grade security, compliance, and operational continuity.