Google Cloud FinOps, a collaborative approach to managing costs and maximizing efficiency, has emerged as a critical strategy for cloud transformation. We’ll discuss the top five generative AI use cases poised to drive the adoption of cloud FinOps, including cost anomaly detection, financial forecasting, and cost optimization. Industry leaders from Equifax, SAP, and CME Group will join the spotlight to share their strategies and experiences to help you create better cloud FinOps practices with AI.

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Get practical advice to improve your cloud financial operations. Join us to learn about new features to avoid unexpected expenses and extract more value from your cloud investment.

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With the emergence of generative AI and the dazzling success it has achieved in just a few months, companies are asking a lot of questions about the relevance of AI and its fields of application overall domains. After DevOps, FinOps or even DevSecOps, it was time to attach the term AI to the profession of ops to give birth to AIOps practices where we will use AI to help ops on a daily basis and enable them to win considerable time with prevention, optimization or even smart assistance in their everyday work.

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Cost efficiency continues to drive IT decision-making, while businesses are simultaneously compelled to innovate using transformational technologies such as generative AI and CPU-based inferencing. In this session, you’ll learn how customers use the latest Google Cloud products powered by fourth-gen AMD EPYC™ processors to lower cloud operating costs, streamline FinOps, and make room in the budget for new applications.

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