FinOps Weekly Podcast
FinOps for AI and Data Workloads: Why Dashboards Are No Longer Enough for Cloud Cost Control Discover how enterprises must evolve their FinOps strategy to manage AI and data workload costs in real time. Industry experts Vijay Prankumar and Kiran Jain (CEO of Finopsly) break down the accountability gap, shadow AI spend, governed automation, and the steps leaders must take to connect cloud and AI costs to real business value. Timestamps 00:00 - Intro & Guest Overview 01:00 - The Strategy Gap in Cloud & AI Spend 02:25 - Budget Accountability & Planning Cycle Challenges 03:20 - Engineering vs Finance in FinOps Structure 04:15 - How AI & Data Workloads Changed FinOps 05:30 - The Monthly Billing Cycle Is No Longer Enough 06:45 - Shadow AI: The New Unmanaged Spend Category 07:45 - Attribution & Tagging AI Costs Across Stacks 08:30 - Where Is FinOps Heading in the Next 12 Months? 09:40 - Shadow AI Spend: A Real Enterprise Problem 11:00 - DBUs, Snowflake Credits & Unified Cost Metrics 12:30 - Bridging Finance & Engineering with a Common Language 13:30 - Real-Life $60K Snowflake Query Gone Wrong 16:00 - The Need for Real-Time Anomaly Detection 18:30 - C-Level ROI Pressure & AI Spend Governance 21:00 - Governance vs Dashboards: A Critical Distinction 23:00 - Value Control as the Next FinOps Frontier 26:00 - What Separates Successful FinOps Organizations 31:30 - Governed Automation in Regulated Industries 35:30 - 3 Actionable Steps for Leaders to Fix FinOps 38:30 - One Key Piece of Advice to Make FinOps Work 41:00 - Final Thoughts & Wrap-Up
32 episodios
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