Join this session to learn how to ground your AI with relevant data with retrieval-augmented generation (RAG) from Firebase Data Connect, which brings rapid development and intelligent context from your Cloud SQL database to your generative AI experiences. Data Connect makes it easy to connect your app, data, and AI all together, and seamlessly integrates Vertex AI and Cloud SQL to make RAG easy and ready for AI agents.

Learn how Firebase App Hosting simplifies deploying and managing Next.js and Angular web apps on Google Cloud infrastructure. With seamless GitHub integration, global scalability, and built-in observability, App Hosting is designed for production-ready deployments. In this session, you’ll watch live demos and explore streamlined workflows to elevate your web app deployment process.

Come join us as we take a deep dive into using Cloud Run for high-availability applications that are resilient to regional outages with no additional costs or complexity. Learn how you can minimize service disruptions to ensure your business continues to operate smoothly, even during a regional outage, with minimal toil on Cloud Run. This session covers a range of topics, including fault tolerant design, multi-region deployment, automated failover, and more.

New AI workloads in the enterprise can create new and novel security exposures. In this session, you’ll learn directly from our Mandiant team about what they are seeing in this new AI-driven world. And we’ll share how Google Cloud AI protection capabilities can help protect your workloads against the most sophisticated threats. We’ll guide you through how you can protect your data, models, applications, and infrastructure throughout the AI life cycle.

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.

The explosive growth of artificial intelligence demands a paradigm shift in how we build and power its infrastructure. Join Urs Hölzle, Google Fellow, and Parthasarathy Ranganathan, VP, Engineering Fellow at Google Cloud, for a fireside chat exploring the critical intersection of intelligent infrastructure and sustainable energy.

They will delve into the challenges and opportunities of scaling AI, from the hardware powering massive models to the energy sources that fuel them. Discover how innovative approaches to infrastructure design and energy efficiency are shaping the future of AI, 25 years of cloud infrastructure design at Google, and what is coming for the next 25 years.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

Take control of your Google Cloud costs. This session provides lean IT teams with essential techniques to optimize cloud spend, maximize budget, and align with business goals.

In this hands-on lab, you’ll build a practical Gmail add-on powered by Gemini and Vertex AI that performs sentiment analysis on your emails. Learn how to integrate powerful Natural Language Processing capabilities to automatically classify emails as positive, neutral, or negative. This tool will help you prioritize customer service responses, flag potentially sensitive messages, and streamline your email workflow for improved productivity.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Explore a future where AI agents from different platforms work together seamlessly. This session focuses on Salesforce and Google Cloud's partnership to develop a standardized approach for multi-agent communication and collaboration. Learn how agent interoperability between Salesforce Agentforce and Google Conversational Agents can handle complex customer interactions, ensuring smooth coordination. Join us to discover the latest advancements that enhance productivity and efficiency.

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.

Master modern enterprise storage on Google Cloud. Optimize cloud-based file storage for diverse workloads with Filestore and Google Cloud NetApp Volumes, fully managed Network File System [NFS) and Server Message Block (SMB) solutions balancing performance, availability, and cost. Explore new features for modern workloads and discover how NetApp Volumes handles Windows and petabyte-scale enterprise demands. This session is a must for IT leaders seeking to future-proof their storage strategy. Learn from BlackLine’s success.

Learn about the latest developments in our integrated geospatial analytics capabilities from Google Maps Platform, Google Earth Engine, and BigQuery. Discover how our rich geospatial data, powerful cloud computing, and built-in AI tools make it easier for any professional to unlock insights, leading to faster, better decisions that drive business growth and sustainability. Find out how our customers are currently using geospatial analytics and Google Cloud infrastructure to improve their business and sustainability outcomes.

Join Kieren Jameson, Director of Google Cloud Learning Content, and Andrey Tapekha, Chief Technology Officer of Deutsche Bank North America, to explore the transformative power of creating a culture of continuous learning in the age of AI. This session delves into how building – and validating – skills can be a cornerstone for both individual career growth and organizational advancement. And it’s better for your return on investment (ROI) too: 73% of leaders and decision-makers report a revenue increase since engaging with Google’s learning services.

Discover how Nokia tackled the challenge of industrializing at scale and modernizing its infrastructure services with AI/GenAI. For decision-makers seeking bold AI adoption, this is a firsthand look at reshaping an organization with AI that delivers ROI. Learn how GenAI-infused runbooks enhance and optimize operations, increase business continuity, and unlock new revenue streams. This session outlines the journey, strategic choices, and a path that leads to breakthroughs that turn AI into real business impact.

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 explore the unique value exchange between Google Cloud and the independent software vendor (ISV) ecosystem, highlighting the programs, initiatives, and incentives that empower startups to scale faster and drive top-line growth. Featuring success stories from leading AI innovators, this session shows how startups can transform their go-to-market strategies by partnering with Google Cloud.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

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.

Mars Wrigley shares how Google Cloud Cortex Framework, in partnership with EPAM Systems, accelerated their marketing measurement strategies. By using pre-built data connectors and models, Mars quickly ingested media data into the cloud, merging it with sales data from a key retailer. This enabled real-time insights into how media investments drove sales lifts. The solution created a foundation for cloud-based innovation, helping assign value to marketing strategies that drive tangible business results.

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.

Transform your marketing with generative AI. Join Google Cloud, Helene Ambiana, and other experts to learn actionable strategies to elevate campaigns, supercharge content, and deepen customer engagement. Gain a competitive edge in today’s digital landscape.

Google Cloud’s Sensitive Data Protection service is a highly effective capability that can discover and classify sensitive data in your environment, helping to prevent data leakage. But it also has features useful to developers to minimize the exposure of confidential customer information when handling large volumes of sensitive data. By taking advantage of Sensitive Data Protection transformation techniques, you can de-identify sensitive information in a dataset through redaction, replacement, masking, tokenization, bucketing, date shifting, and time extraction. Developers retain the ability to test applications using functional data while still meeting security requirements put in place to protect customer information. By using pseudonymization, which is reversible and provides an easier path for troubleshooting, developers will have a more useful dataset for functional testing than they would if they used data anonymization. In this talk, you’ll learn how to use the Cloud Data Loss Prevention API (DLP API) of Sensitive Data Protection to inspect data for sensitive information and build an automated data transformation pipeline to create de-identified copies of your dataset.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Discover why Chubb, Munich Re, and Beazley, global leaders in cyber insurance, have partnered with Google Cloud to enhance the Risk Protection Program. Learn about our shared vision for added cyber insurance and how it translates to stronger protection and greater peace of mind for your business.

Discover how to combine generative AI with knowledge graphs to create AI systems that understand causation and drive actionable insights. Through live demos, DoiT will explore how Spanner Graph enables long-term reasoning capabilities, moving beyond descriptive analytics to prescriptive AI that generates and adapts action plans. Discover patterns and strategies to build AI systems that go beyond “What happened?” to guide organizations toward their goals. Join DoiT for an inspirational talk to create better and more trustworthy AI recommendations.

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.

Transform your developer experience by integrating Backstage with Google Cloud. Learn how to implement essential platform engineering practices applicable to any industry or size. Discover how you can achieve remarkable results by building a self-service developer platform on Backstage for your multi-tenant Google Kubernetes Engine infrastructure like HCA Healthcare did. Learn firsthand how they transformed developer onboarding: slashing the process from months to just minutes, improving developer satisfaction, and accelerating innovation at scale.