The growing demand for AI inference raises crucial questions about sustainability. For developers, that means looking for energy efficiency everywhere. This session will explore deployment models (PaaS vs IaaS), capabilities you can optimize under the hood (architectural best practices and measurement), and data center wide optimizations Google makes and manages (liquid cooling, custom hardware) to be considered in the context of an AI inference application.

Serverless is a new paradigm – and sometimes a scary one when it’s disruptive. We'll cover all the security aspects of a traditional web application about network routing, public exposure, secret management, and more. In this session you’ll learn how to increase your security posture in a serverless environment and will be able to apply its implementation in your next serverless application.

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You’re the master of this session – you choose the language, the database type, and the deployment platform. Thanks to Gemini, we’ll deliver a working application from scratch to Google Cloud. Plus, we’ll cover all the development steps: build, test, and deploy and you’ll discover how fast Gemini helps any developer or practitioner in a matter of a single breakout session. Come to learn how Workstation and Gemini can enhance your workforce for better and safer developments.

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Python's dominance in data science streamlines workflows, but large-scale data processing challenges persist. Discover how BigQuery DataFrames, a Pandas and scikit-learn-like abstraction over the BigQuery engine, revolutionizes this process.

Join this session to learn about BigQuery DataFrames and witness how you can: - Effortlessly transform terabytes of data - Build efficient ML applications on massive datasets by leveraging large language models - Use your familiar Python environment

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Data is a valuable asset, and companies increasingly want to monetize it while also maintaining a high level of privacy and security. We’ll cover a real world example of data sharing and monetization between beauty tech company L’Oréal and multi-national retailer Carrefour. Learn how BigQuery data clean rooms keep data such as sales, customer segmentations, and stocks safe while also enabling monetization opportunities with third parties. You'll learn the newest innovations in data sharing for BigQuery.

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We all have a role to play in fighting against global warming. You’ll discover the fundamental concepts of different infrastructure design, from legacy to modern serverless hosting. We’ll cover different ways to deploy the same application on these different infrastructures and the key impacts they have on different metrics: duration, cost and CO2. You’ll learn the core concept of serverless services and their advantages. But also how to know the carbon footprint impact of your projects thanks to the carbon footprint dashboard.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.