How to Make Usage Optimization a Boardroom Topic
PointFive Co-CEO Alon Arvatz and Nubank's Thomas Hammer (Product Operations lead for FinOps) tackle an overlooked challenge: it's not enough to do usage optimization, you have to make executives and the board care about it. Thomas explains how Nubank, Latin America's largest retail bank with ~131 million customers across Brazil, Mexico, and Colombia, thinks about the cloud bill in three layers (price, business-driven usage, and efficiency-driven usage) and why the biggest opportunities now live in the deeper layers of waste: configuration drift, application patterns, and architectural inefficiencies. He shares real results from tackling thousands of individually tiny opportunities in aggregate (DynamoDB storage-class and lifecycle automation, EBS cleanup) for roughly 1.3% of total cloud spend saved, plus a metric his CTO tracks closely: reduction in time to resolution (an unattached EBS volume's average life dropped from 210 days to two weeks). Verified savings over estimates are what turn FinOps into a boardroom conversation, because leadership discounts anything that sounds like "more or less." 00:00 Intro: Why Usage Optimization Needs Boardroom Attention 04:58 The Three Levels of Cloud Cost: Price, Business Usage, Efficiency 10:12 The Layers of Waste and Why the Deep Ones Matter Most 13:01 Nubank Case Studies: Automating Thousands of Small Opportunities 20:09 Credibility, Verified Savings, and Metrics That Resonate 25:29 Tooling Requirements, Takeaways, and Q&A Watch the Day 1 Keynote and Tokenomics Foundation announcement: https://www.youtube.com/live/W4g8xvduIbs Watch the Day 2 Keynote: https://www.youtube.com/live/vyQTW0PLw7A Learn more about Token Economics: https://tokeneconomics.com https://x.finops.org https://join.finops.org #FinOps #FinOpsX #UsageOptimization #CloudWaste #Nubank

How Bayer Eliminates Shadow Waste & Inefficiencies in Cloud, Code, Runtime and AI

Optimizing for Value: FinOps at Cummins

Making FOCUS Work in Practice: Lessons from Elo's FinOps Journey Beyond Cloud

Agentic (and AI) Governance that Developers and FinOps Leaders Love

Observability for FinOps Teams I The Keys to AWS Optimization | S16 E7

From On Demand to Optimized: Your Guide to Smarter Cloud Commitment Strategies

Governing AI Costs and Proving ROI: From Black Box to Board Slide

RAG & MCP Fundamentals – A Hands-On Crash Course

How to Design Sustainable API Platforms

The Last Cloud Bill: Where We're Going, You Won't Need One

Christine Lagarde - President of the European Central Bank | Podcast | In Good Company

The third golden age of software engineering – thanks to AI, with Grady Booch

Build a FinOps Agent I The Keys to AWS Optimization | S16 E6

Transformers, the tech behind LLMs | Deep Learning Chapter 5
![[1hr Talk] Intro to Large Language Models](https://i.ytimg.com/vi/zjkBMFhNj_g/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBCrl1xz7LUOu4mwljGLeHxo9mjAg)
[1hr Talk] Intro to Large Language Models

Spreadsheets to Autopilot: UiPath's Multi-Cloud Rate Optimization

FinOps for AI and AI for FinOps I The Keys to AWS Optimization | S16 E1

Managing Cloud and AI Spend in the Age of Converging Disciplines

Head of Claude Code: What happens after coding is solved | Boris Cherny

