Unlock the full potential of Compute Engine for all your applications. This session delivers actionable strategies and best practices to optimize cost, reliability, and management for cloud-first, AI, machine learning, high performance computing, enterprise, and stateful workloads. We’ll share recently released features within Compute Engine to maximize return on investment for each specific application type.

Harness the power of AI agents with rich conversational experiences. This session will cover the practical applications of AI agents and how your teams can use them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your business workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents.

Supercharge your applications and drive revenue growth with Looker Embedded. This session reveals how to seamlessly integrate powerful data experiences and AI-driven insights directly into your products. Discover how to increase customer engagement, unlock new revenue streams, and gain a competitive advantage. Learn how to reduce development time and costs by leveraging the robust Looker platform. Join us to learn how Looker can help you transform your applications and deliver actionable intelligence to your customers.

Organizations across the healthcare ecosystem are in various stages of shifting to a more patient- and provider-centric model. Traditional care models often fall short of meeting the rising expectations of patients who demand personalized, seamless, and value-driven interactions. Learn how leading organizations are leveraging technology to empower care professionals and improve patient experiences.

This talk explores a comprehensive key management strategy designed to safeguard your critical assets, now and in the future. We’ll focus on the foundation of modern key management, evolving cloud hardware security offerings, sovereign key management, and cloud key management. By combining the strengths of advanced hardware security module (HSM) technology, sovereign key management principles, and the flexibility of cloud environments, organizations can build a robust and future-proof security posture.

You name it, we’ll build it. If a demo feels too polished without enough opportunities for things to go wrong, then let’s throw out the script and do it live. We’ll pick a JavaScript framework and a database, and then build a full-stack application from scratch. If you’re a full-stack application developer or a frontend or backend developer wondering how everything ties together in a modern application, this will be an exciting ride worth joining – no Google Cloud experience required.

Want to build your own Gemini-powered applications? Bring your laptops. This technical session provides the interactive experience you need. We’ll guide you through practical examples and code snippets, and cover how to start creating with the Gemini SDK on Vertex AI.

In today’s fast-paced market, data is key to innovation. This session explores how Apigee, combined with Google Distributed Cloud, enables organizations to unlock the value of their data, regardless of its location. Learn how to operationalize data across legacy systems, the cloud, and edge environments to build cutting-edge solutions like generative AI and advanced analytics. Discover how Apigee simplifies data accessibility and interoperability, accelerating your time to market and maximizing the potential of your data assets.

Mandiant has observed that organizations continue to lack visibility into cloud threats and fail to enable the logs required for effective incident detection and response. This session provides guidance for building a cloud logging and detection strategy, based on lessons learned from Mandiant’s incident response engagements. You’ll learn about incident case studies that show how cloud logging gaps can lead to undetected attacker activity and ineffective investigations.

This session explores real-world success stories from world-leading companies in financial services, retail, healthcare, gaming sectors, and more. The forum is ideal for business leaders, technical executives, product managers, and developers to see how gen AI is being used for automation, personalization, knowledge extraction, differentiated experiences, operational efficiency, and user protection within their own organizations.

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.

To achieve your business goals while staying within the budget, it’s crucial to have complete visibility into your cloud spending, down to the specific applications and workloads. You need to know exactly where your money is going and how efficiently resources are being used, as well as opportunities to optimize spending. In this session, we’ll show you how to gain such knowledge and insights about your applications. We’ll explore how to use product dashboards and Gemini Cloud Assist to identify optimization opportunities. Leave with actionable strategies to maximize your cloud return on investment (ROI) and achieve your business goals.

Model Armor is designed to protect your organization’s AI applications from security and safety risks. In this session, we’ll explore how Model Armor acts as a crucial layer of defense, screening both prompts and responses to identify and mitigate threats such as prompt injections, sensitive data leakage, and offensive content. Whether you’re a developer looking to implement AI safety or a professional interested in better visibility into AI applications, Model Armor offers comprehensive yet flexible security across all of your large language model (LLM) applications.

Madhive built their ad analytics and bidding infrastructure using databases and batch pipelines. When the pipeline lag got too long to bid effectively, they rebuilt from scratch with Google Cloud’s Managed Service for Apache Kafka. Join this session to learn about Madhive’s journey and dive deep into how the service works, how it can help you build streaming systems quickly and securely, and what migration looks like. This session is relevant for Kafka administrators and architects building event-sourcing platforms or event-driven systems.

Tensor Processing Units (TPUs) are a hardware accelerator designed by Google specifically for large-scale AI/ML computations. Google's new Trillium TPUs are our most performant and energy-efficient TPUs to date, and offer unprecedented levels of scalability. Ray is a unified framework for orchestrating AI/ML workloads on large compute clusters. Ray offers Python-native APIs for training, inference, tuning, reinforcement learning, and more. In this lightning talk, we will demonstrate how you can use Ray to manage workloads on TPUs with an easy-to-use API. We will cover: 1) Training your models with MaxText, 2) Tuning models with Huggingface, and 3) Serving models with vLLM. Audience can gain an understanding of how to build a complete, end-to-end AI/ML infrastructure with Ray and TPUs.

Flutter powers beautiful apps featuring custom designs, high performance, and access to the latest iOS APIs and features, while Firebase SDKs for Flutter make it easy to add backend functionality. Join this session to learn how to use these technologies together to build full-stack apps for iOS and then share that code across Android, web, desktop, and more.

Leaders of small businesses from around the globe take the stage to discuss how they’re using generative AI to bring positive change to their communities and environment. In this panel, we’ll show you how there are no limits to what your business can create.

Unlocking insights often requires data collaboration between different organizations, which raises important questions about privacy and data security. Learn how Google and one of our customers use confidential computing solutions to apply new approaches to data security, isolation, and transparency – all through the use of Confidential Computing and Trusted Execution Environments (TEEs). TEEs can transform privacy obligations into real-world, technical solutions that enable businesses of all sizes to thrive while respecting people’s privacy.

This session offers a technical deep dive of the state-of-art AlloyDB AI capabilities for building highly accurate and relevant generative AI applications using real-time data. We’ll cover vector search using Google Research’s ScaNN index technology and cover how you can utilize Gemini from AlloyDB operators to seamlessly integrate into your application. Discover AlloyDB AI natural language feature, a new way to interact with databases and how it accurately and securely answers your questions. Also learn about the latest research between Google and NVIDIA on GPU-accelerated vector index builds in databases.

How can organizations create scalable, engaging communications that capture attention and break through all of the noise? In the session, explore how the newest Google Workspace app is empowering teams of all sizes to build dynamic video content with Gemini to connect with coworkers and partners in new ways and break through the noise. Explore the latest customer insights, experience Vids in action, and discover what’s next.

Visionaries from Virgin Media O2, TCS and Google Cloud share insights on their data modernization journey. Explore how a cloud-first data strategy enabled Virgin Media O2 to reimagine their business by enhancing agility, speed and scalability, automating operations, optimizing costs, and driving AI-readiness.

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.

Learn how Google Distributed Cloud is bringing the power of cloud infrastructure and AI models to on-premise computing to unlock new opportunities for decision makers and developers without compromising on data residency, connectivity, regulatory compliance, or local data processing. Explore the future of distributed cloud computing with experts from Google Cloud and customers. Finally, we will dive deep into the latest generative AI, enterprise search, and configurations available in Google Distributed Cloud.

Modernize your Oracle workloads on Google Cloud. Experience seamless migration, robust infrastructure, and familiar tools for mission-critical workloads. Unlock your data's potential with BigQuery and Vertex AI, driving business differentiation and cost reduction. Learn how the Google Cloud & Oracle partnership, combined with your expertise, can accelerate digital transformation, reduce costs and grow your customers' potential. 

Deploy and scale containerized AI models with NVIDIA NIMs on Google Kubernetes Engine (GKE). In this interactive session, you’ll gain hands-on experience deploying pre-built NIMs, managing deployments with kubectl, and autoscaling inference workloads. Ideal for startup developers, technical founders, and tech leads.

**Please bring your laptop to get the most out of this hands-on session**

This meetup is a space for developers actively working with any open-source AI libraries, frameworks, or tools, to share their projects, challenges, and solutions. Whether you're building with LangChain, Haystack, Transformers, TensorFlow, PyTorch, or any other open-source AI tool, we want to hear from you. This meetup will provide an opportunity to connect with other developers, share practical tips, and get inspired to build even more with open-source AI on Google Cloud. Come ready to contribute, and let's learn from each other!