Webinar details
Every organization wants to accelerate AI adoption. But as AI workloads move from experimentation to production, many teams are discovering a new challenge:
Nobody is quite sure what AI is costing
Token consumption, model usage, inference workloads and supporting cloud infrastructure can quickly create unexpected spend across AWS, Azure, Google Cloud and SaaS. Without clear visibility, it's difficult to understand where costs are coming from, who owns them and whether AI investments are delivering value. The question is no longer "How do we adopt AI?" It's "How do we scale AI responsibly?"
Join Simon Clayton, Head of CloudHealth EMEA at Arrow for a practical session exploring how FinOps principles can help organizations gain visibility into AI spend, establish accountability and optimize cloud costs without slowing innovation.
You'll see how organizations are using CloudHealth to understand AI consumption, identify waste, implement governance and ensure AI initiatives remain aligned with business outcomes.
What you'll learn:
- Understand the cost of AI across cloud infrastructure, services and model consumption
- Gain visibility into AI-related spend, token usage and consumption trends
- Identify cost optimization opportunities before they impact budgets
- Establish governance and accountability for AI workloads
- Build a FinOps framework that supports innovation while maintaining financial control
- Demonstrate business value and ROI from AI investments
Simon Clayton, Head of CloudHealth EMEA, Arrow
Simon will share practical strategies for managing the financial impact of AI and SaaS adoption and demonstrate how leading organizations are bringing visibility, accountability and optimization to their AI operations.
AI can create opportunities across the IT landscape, but it can also introduce new financial challenges. Learn how to gain visibility, control costs and scale AI in your cloud environments with confidence.
