Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Move beyond AI pilots to scalable AI impact.

Enterprise AI is not just a technological innovation—it's a competitive necessity. To fully harness the potential of AI, organizations need more than just technology—they need a clear, forward-looking roadmap. Infosys is redefining what it means to be an AI-first enterprise. This session delivers a roadmap for building a robust, responsible AI foundation - with data that is Ready for AI, including the strategic realization of Agentic AI. Join us to explore the path to a future based on Enterprise AI.

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.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Meet with a Google Cloud Security expert to discuss your specific security needs and discover how our solutions can help. Plus, you can grab a complimentary copy of the “Defenders Advantage” book and a cup of coffee while you’re there.

We invite you to explore how Cognizant's Generative AI-powered solution transforms contract negotiations. This advanced technology reduces contract review time from 92 minutes to just 26 seconds, achieving a 10% increase in accuracy. It possesses a distinctive ability to identify and risk-score non-standard contract language, equipping negotiators with a contextual understanding of risk levels. This solution facilitates data-driven decision-making, mitigates financial risks, and provides a proactive approach to contract management.

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.

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

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.

Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

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.

Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

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.

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.

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.

Balancing developer agility with security compliance is a key challenge in AI-driven, cloud-native development. Learn how Docker and Google Cloud integrate security into every phase of the software lifecycle—enabling teams to build, test, and deploy AI features and applications with confidence. Embed security in developer workflows, enhance supply chain integrity with SLSA provenance and SBOM attestations, and leverage trusted content on seamless workflows with Google 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.

You are sitting on a goldmine of behavioral data that can be used to enhance customer and employee experiences, empower smarter AI agents, and train better models. Every click, scroll, and interaction holds invaluable insights—yet many businesses overlook this data’s potential. Join Fullstory’s Chief Product Officer to learn how the world’s largest brands are using AI-ready, first-party behavioral data to uncover & eliminate friction–gaining the context needed to build exceptional digital experiences to stay competitive and drive revenue.

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.

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**

"Talk-to-Manuals" leverages Google Cloud's Vertex AI Search and Conversation, along with a multi-turn GenAI agent, to provide customers with easy access to vehicle information. The solution integrates and indexes diverse data sources—including unstructured PDFs and structured data from FAQs—for efficient retrieval. Semantic search, powered by LLMs, understands user intent, delivering highly relevant results beyond keyword matching. The interactive multi-turn conversation guides users towards precise information, refining queries and increasing accuracy. Data filtering based on vehicle attributes (model, year, engine type) combined with sophisticated GenAI-powered post-processing ensures tailored results. The successful implementation of "Talk-to-Manuals" significantly improved customer service by providing a more accessible and intuitive way for customers to find information.

Join GXO's SVP of Data/AI/ML, Ramin Rastin, and Senior Director of Data, Americo, as they share their remarkable journey of implementing Generative AI and Vertex AI within their organization. Discover how GXO leveraged Google Cloud's cutting-edge technology to achieve significant scalability and efficiency gains, enhance business operations, and improve user experience. In this session, you'll learn how GXO: Scaled rapidly: Deployed 15-20 AI-powered assistants within the first six months of 2025, each reducing workloads by 40-60%. Enhanced flexibility: Developed a Generic Chat Assistant mid-project to adapt to evolving business needs. Improved accessibility: Created an intuitive user interface for all users, regardless of technical expertise. Centralized control: Implemented an Admin Page with role-based access control for enhanced security and governance.

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!

Build & deploy with Google Cloud Deploy! This hands-on lab equips you to create delivery pipelines, deploy container images to Artifact Registry, and promote applications across GKE environments.

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!