Curious about the future of media creation? Explore the latest announcements and capabilities for Imagen, Veo, and Lyria, Google’s suite of generative AI media tools. Witness demonstrations of new features and discover how they can revolutionize your creative workflows.

Discover how semiautonomous agents reduce manual effort and accelerate business outcomes with AI-powered experiences for data discovery, data preparation, analysis, and insight generation.

Discover how Google Cloud accelerates life sciences innovation.We showcase AI's impact on early-stage research, enabling rapid target identification and virtual screenings, vital for life sciences, biotech, and medical devices. See how AI-powered analytics optimize clinical trials, improving design, execution, and patient recruitment.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

Leverage Google Cloud Observability when instrumenting your code with logging, monitoring, and tracing capabilities. Try it out yourself in one of the popular programming languages, such as Java, Python, JavaScript, or Go.

Find out how advanced development tools in Vertex AI can significantly improve your model development workflow.

Check out Google’s recommended architecture for bringing agents to your products, powered by Gemini, Firebase, Google Cloud, and Angular.

Enter our court and get pro-level jumpshot coaching from Google AI. Get instant feedback on your form, receive personalized tips, and find out exactly how to elevate your game.

Use generative AI to suggest gardening products to customers based on their specific needs. We use Genkit to help users determine what’s wrong with their house plants and which gardening products could help revive those plants.

Generate a personalized podcast using your Google Workspace apps (Calendar, Gmail, and Chat) to kick-start your day in the tone best suited to your mood. All while keeping your hands and eyes free.

Learn how generative AI and Firebase products can help shoppers find exactly what they are looking for in store – like at their local grocer. Genkit generates recipes and Data Connect helps locate items on shelves, all hosted on Firebase App Hosting.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

This demo shows AI network operations solutions that deliver advanced AI/ML powered tools and capabilities to understand impacts of network issues on telco customers, detect them, and resolve them faster through automated end-to-end correlation and root cause analysis. The solution leverages native GCP services

Learn how to transform production by connecting IT and OT data, powered by the latest releases of Manufacturing Data Engine and Cortex Framework with seamless integration. Ground your AI models with our data foundation and operate with integrated factory floor performance, machine and production insights.

Modernize your website and applications with Google’s specialized, AI-powered search products.

Build an AI-powered image detection game with Vertex AI in Firebase and Flutter. Begin to draw an object and watch Gemini analyze your doodle in real time and guess what you’re drawing. All in 20 seconds!

APIs dominate the web, accounting for the majority of all internet traffic. And more AI means more APIs, because they act as an important mechanism to move data into and out of AI applications, AI agents, and large language models (LLMs). So how can you make sure all of these APIs are secure? In this session, we’ll take you through OWASP’s top 10 API and LLM security risks, and show you how to mitigate these risks using Google Cloud’s security portfolio, including Apigee, Model Armor, Cloud Armor, Google Security Operations, and Security Command Center.

Build fully integrated streaming pipelines on Google Cloud and learn how to leverage AlloyDB, Datastream, BigQuery, Looker, and Vertex AI for real-time data analysis.

Did you know? You only need One API to Rule Them All! Google's Gen AI SDK provides a simple path to both the Gemini API and Vertex AI!

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Streamline data analytics workflows with AI assistance. Enhance data team productivity and reduce costs.

The Automotive AI Agent, powered by Gemini and Vertex AI, uses natural conversations to deliver intelligent responses and create next-generation vehicle experiences. The AI agent provides contextualized responses that keep up with your schedule and needs.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.