Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

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.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

This Session is hosted by a Google Cloud Next Sponsor.Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.

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.

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.

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.

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.

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.

Go beyond the standard Google Workspace experience. Learn how to extend and integrate with the Workspace platform, and explore how Qodea and others have leveraged the Workspace platform to create custom solutions that have boosted efficiencies, driven productivity, and reduced user workloads.

Join us to discuss serverless computing and event-driven architectures with Cloud Run functions. Learn a quick and secure way to connect services and build event-driven architectures with multiple trigger types (HTTP, Pub/Sub, and Eventarc). And get introduced to Eventarc Advanced, centralized access control to your events with support for cross-project delivery.

Join us as we explore an exciting collaboration between the Allen Institute for Artificial Intelligence (Ai2) and Google Cloud, bringing the power of open-source AI to the research community. This initiative provides researchers and developers with access to OLMo, Ai2's state-of-the-art open language model, leveraging Google Cloud's scalable infrastructure. By prioritizing data transparency and open access, this initiative is poised to transform how AI is developed and deployed, fueling a new era of innovation in science, healthcare, public sector, and other regulated industries.

Navigating the complex world of compliance can be daunting. Join us to discover how to simplify your compliance journey on Google Cloud, enabling you to build at scale while meeting stringent industry regulations with ease.

This Session is hosted by a Google Cloud Next Sponsor.Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

This session provides strategies for maximizing business value with generative AI. We cut through the hype and offer actionable insights for building and deploying advanced gen AI business capabilities. We'll delve into strategies that our customers use to get the most out of their AI investment, explore the essential foundations for scaling up, and share a vision for the future of business operations transformed by agentic AI.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering, empowering you to build important apps, services, and agents faster than ever.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering, empowering you to build important apps, services, and agents faster than ever.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

The rise of AI-powered code generation tools presents a compelling alternative to traditional UI prototyping frameworks. This talk explores the question: Is it time to ditch the framework overhead and embrace core web technologies (such as HTML, CSS, JavaScript) for faster, more flexible prototyping? We’ll examine the trade-offs between structured frameworks and the granular control offered by a “bare metal” approach, augmented by AI assistance. Learn when leveraging AI with core tech becomes the smarter choice, enabling rapid iteration and bespoke UI designs, and when frameworks still reign supreme.