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.
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Bruce Warner
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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.
Do you have many more requests to fund Generative AI investments than available funds, and struggle to assess the business impact? Learn how one of the world's largest cyber security firms took on this challenge to accelerate business value realization with this transformative technology. Please note: seating is limited and on a first-come, first served basis; standing areas are available
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