In this episode of the FinOps NEXUS Podcast, host Jon Myer sits down with Eric Lam, Head of Cloud FinOps at Google, to discuss the transformative power of FinOps automation and the role of generative AI. Learn how Google is integrating AI to streamline FinOps processes, enhance data insights, and drive business value. Discover the key use cases of AI in FinOps, from generating cost reports to automating repetitive tasks. Don't miss this insightful conversation on the future of FinOps and AI.
Guest:
Eric Lam, Head of Cloud FinOps at Google
Host:
Jon Myer
Key Takeaways
FinOps Automation: Understanding the importance of automating repetitive FinOps tasks to save time and focus on strategic initiatives.
Generative AI: Exploring how generative AI can create new content, summarize data, and uncover new patterns to enhance FinOps practices.
Google's Innovations: Insight into Google's integration of generative AI, such as Gemini, into their Looker platform to simplify data analysis and reporting.
Business Value: How AI-driven FinOps solutions can drive more actionable insights and value for organizations.
Future of FinOps: Predictions on the evolving role of AI in making FinOps more accessible and impactful across enterprises.
Timeline
00:00 - Introduction by Jon Myer
00:09 - Welcoming Eric Lam from Google
00:16 - Discussion on FinOps and FinOps automation
01:30 - Four key use cases of generative AI in FinOps
02:50 - Automating cost reports and summarizing cloud billing data
04:29 - Differentiating automation and generative AI
05:15 - Google's integration of Gemini into Looker platform
07:53 - Daily automation of FinOps tasks
08:31 - Benefits of natural language processing in data analysis
11:06 - Importance of prompting skills in FinOps
12:33 - Uncovering new patterns with generative AI
13:20 - Future directions for Google in AI and FinOps
14:38 - Closing remarks and summary
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#finops #cloudoptimization #cloudfinancialmanagement
26 июн 2024
