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AI native cloud strategy now determines who can scale AI and who stalls out. AI native cloud decisions directly impact cost control, speed to market, and competitive advantage as agentic AI moves from pilots to production. In this episode, leaders explain why the wrong AI foundation quietly becomes a business risk.
In this episode of AI Cloud Essentials presented by CoreWeave, host Ritu Jyoti, Independent AI Strategist, is joined by Jean English, Chief Marketing Officer of CoreWeave, to take AI out of the infrastructure weeds and into the boardroom. They break down why general purpose cloud platforms were never designed for AI at scale and how AI native cloud architectures unlock faster innovation, better economics, and real business velocity.
In this episode, you will learn how to:
Tell if your current AI stack is enabling growth or slowing it down
Understand the real differences between general purpose cloud and AI native cloud
Move AI from prototype to production without friction
Improve GPU utilization and cost predictability at scale
Balance speed, security, and governance for enterprise AI
Align AI infrastructure decisions with executive and board level outcomes
Future proof your organization for agentic AI and next generation workloads
The gap between AI leaders and laggards is widening fast. Do not risk rising costs, stalled innovation, or strategic lock in. Learn how to build an AI native foundation that protects speed, control, and competitive advantage while there is still time to lead.
