This talk delves into the difficulties of managing AI costs, emphasizing cost estimation across various model deployments (closed foundation models, non-cloud provider APIs, and local models). Key areas of focus include strategies for projecting AI spend at both the workload and enterprise level, implementing cost showback mechanisms, optimizing AI spending, and developing business plans and forecasts using ML and GenAI.
talk-data.com
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Speaker
Bruce Warner
2
talks
Cloud FinOps Lead
Google Cloud
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with
Brent Eubanks
(Wayfair)
,
Bruce Warner
(Google Cloud)
,
Leslie Nolan
(CME Group)
,
Eric Lam
(Google Cloud)
,
Ivan Bojer
(Palo Alto Networks)
Generative AI has revolutionized the business landscape, but many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations. Discover how companies are partnering with Google Cloud Consulting to better quantify the business value, understand the total cost of ownership (TCO) of gen AI use cases, and prioritize their AI investments – key lessons that can we learn from the companies leading the AI transformation.