According to IDC, 67% of AI technology spend in 2025 will be enterprises embedding AI capabilities into core business operations. Learn how AI-enabled customer engagements, from search to customer care operations and insights, are helping organizations improve customer experience and employee productivity while lowering costs. In this session, we’ll discuss specific use cases and the business results customers have achieved.

This Session is hosted by a Google Cloud Next Sponsor.
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Legacy productivity solutions are not designed to enable real-time, AI-assisted teamwork and reduce security and reliability risks. Join us to discover how a secure enterprise browser, a cloud-first OS, and cloud-first productivity apps can not only make your teams more collaborative and effective but also reduce the IT workload, software costs, and security risks. You’ll learn about Google’s approach, explore customer success stories, and discuss strategies to help your organization begin the journey.

The Gemma family is growing. Discover the latest additions to this powerful collection of open models. This session explores new Gemma models, highlighting advancements in performance and capabilities for diverse AI applications. Learn about the expanding Gemma ecosystem, including tools, community resources, and model evaluation techniques to find the perfect fit for your project.

This technical deep dive explores how small IT teams can leverage Google Kubernetes Engine (GKE) and AI Hypercomputer to build, refine, and optimize a cutting-edge, scalable, and secure container platform for AI workloads.

Ten years ago, Google Kubernetes Engine (GKE) was born! Since then, it has become the industry-leading managed Kubernetes platform, powering mission-critical workloads across all industries. But the innovations have just begun. Join this session to learn about the latest GKE features and upcoming innovations – such as next-generation autoscaling, lightning-fast node startup, and multi-cluster fleet management – that make GKE the best Kubernetes platform for the next generation of AI and modern workloads.

Data silos are costing you time and money. Discover how Google Workspace, combined with Google Agentspace, can serve as your central hub for work with a single, searchable source of truth for business data. We’ll demonstrate how to eliminate data silos and speed up AI adoption while integrating relevant information into employees’ daily Workspace experience. This session is ideal for IT leaders and developers seeking to maximize the value of their data.

Scaling Agents with Agentspace isn’t just about building cool agents, it’s about how you integrate those into your business and how you set up the operational governance, the monitoring and the overall lifecycle management that creates a trusted digital workforce. Google Cloud becomes the Digital Office Space for your Agentic employees, and you’ll need an AI RM to manage them.

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.

Facing the challenges of scaling multimodal search for massive datasets? This session shows how leading retailers scaled their search infrastructure using Vertex AI Vector Search. Discover how the power of multimodal hybrid search of Vector Search 2.0 dramatically improves your search experience.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

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.

Revolutionize your business with Intel and Google Cloud. Discover the power of Intel Xeon-based instances and Intel’s software optimizations for unparalleled efficiency and performance. Lower your total cost of ownership with Intel Trust Domain Extensions (TDX) for secure computing.​ Unlock the potential of AI with Intel Advanced Matrix Extensions (AMX) and optimize your software stack. Transform your infrastructure, engage with industry leaders, and gain insights to stay ahead in a rapidly evolving market.​

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.

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Want to build large language models (LLMs) that are truly knowledgeable and reliable? This session explores real-world use cases of grounding with diverse data sources, such as data from Google Search, Google Maps, or even your own enterprise data. Discover how Vertex AI helps you build trust in your AI outputs.

IAM and cloud resource posture are at the core of your security infrastructure and fundamental to cloud adoption. Google Cloud's IAM and Org Policy are evolving, enabling frictionless experiences for admins, developers and security practitioners. Our innovative platform helps you implement robust and comprehensive security controls across the enterprise with AI-enabled features for agility in your operations. Join this demo-packed session to learn about the latest innovations in IAM, access risk, cloud governance, and Gemini-powered assistance.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

Grupo Pavisa plans to revolutionize its business model by basing decisions on a single source of truth using RISE with SAP on the Google Cloud Platform. Learn how this transformation will reduce delivery times, improve production capabilities and enable the creation of better forecasting models. Join Luis Gabriel Martínez from Grupo Pavisa and Clay Caldwell from Kyndryl for a discussion of how a pragmatic approach to modernization and co-creation with Kyndryl, SAP and Google is enabling success.

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.

This session presents Schnucks’, a midwest grocer’s migration of their E-commerce application from Oracle Database to Cloud SQL PostgreSQL. It will cover challenges such as addressing the complexities of even "simple" schemas, testing data movement possibilities to minimize downtime, and transforming the database tier. Hear about the business impact, including cost savings, increased database-application proximity and the potential for similar future migrations, allowing for direct integration options from Google CloudSQL to Google Gemini 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.

Direct Preference Optimization (DPO) is a cutting-edge approach for fine-tuning large language models to align with human preferences. DPO eliminates complexities of Reinforcement Learning (RL), like reward modeling, by directly training models to prioritize user-selected over rejected outputs, simplifying alignment while maintaining performance. This talk covers DPO's principles, implementation, and significance in refining AI for practical applications. It highlights DPO's streamlined efficiency in optimizing model outputs, unpacking steps for preference-based adjustments, and contrasting DPO with traditional RL, showing its advantages in reducing overhead and enhancing scalability.

McDonald’s is advancing its AI capabilities and achieving transformative business outcomes with Collibra and Google Cloud Gemini. By integrating a multi-cloud, multi-data platform with unified data governance for AI, McDonald’s is reducing governance fragmentation, activating unused data, and addressing AI deployment risks. This session examines how McDonald's utilizes Collibra and Google Cloud's data and AI technologies to quickly implement innovative solutions and improve customer, restaurant team, and employee experiences.

Boost AI innovation in regulated industries! Use Red Hat OpenShift AI/IBM Watsonx and Vertex AI to split model lifecycles: train securely on isolated OpenShift AI/Watsonx, then deploy via Vertex AI's model registry. Explore use cases, deployment patterns, and the advantages of this approach. Ensure training on a trusted platform for sensitive data. Deploy models easily via Google Cloud's registry. Learn how this MLOps architecture helps meet regulations while leveraging cloud 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.

DORA research reveals AI boosts code quality but not software delivery. Let's explore this paradox! Share your AI experiences, get adoption tips, and brainstorm strategies for maximizing AI's impact on software development. During this meetup you will: • Learn more about the research into AI • Share your own experiences with using AI throughout the software development lifecycle • Get tips for driving adoption across your organization • Discuss tactics and strategies for improving the use of AI Join members of the DORA community as we explore ways to improve the impact of AI.

Generative AI is moving to production, powering complex workflows. Evaluation is now crucial. This deep dive explores core evaluation principles and methods, with a focus on multi-modal assessment. We'll dissect practical challenges, best practices, and hear from leading researchers on cutting-edge techniques for evaluating multi-modal use cases. Learn how to measure generative AI success beyond simple outputs.

Supercharge your Android apps with the power of generative AI. This session explores the Vertex AI integration with Firebase that empowers mobile developers to easily leverage Gemini and Imagen 3 for cutting-edge features like image generation. Learn production best practices, discover complementary Firebase solutions, and unlock new levels of creativity and user engagement in your apps.

Discover how machine learning (ML) engineers and app developers collaborate to build a viral AI app. This session takes you on a journey from a screenshot-to-calendar Python app running on a laptop to a globally scaled app. You’ll learn best practices for collaboration between ML engineers and app developers; how to build, refactor, and scale an AI app to millions of users with a modern architecture; and how to leverage the power of Gemini, Vertex AI, app hosting, and full-stack development. Find out how to build something greater than the sum of its parts!

The way we build software is fundamentally changing with AI-centric tools. In this session, learn how to build and ship full-stack AI apps faster with the newly launched Firebase Studio. Find out how your codebase becomes context for Gemini, enabling powerful agentic capabilities in your editor. Generate and modify code, execute commands – all with natural language prompts. And leave with strategies to ship better software, quicker.