Join us for a deep dive into the latest advancements in Gemini Code Assist. This session will unveil exciting new features designed to boost productivity, enhance software quality, and streamline modernization efforts.

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.

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.

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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.

Decode the future of startup funding. Join top VC leaders for a dynamic discussion on key trends, emerging technologies, and winning investment strategies shaping the next year. Whether you’re seeking funding or planning your next move, this is a must-attend session to gain crucial insights to navigate the evolving startup landscape.

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.

Google brings together the scalability, reliability and ease-of-use of Firestore with MongoDB compatibility. The session will showcase Firestore with MongoDB compatibility and its capabilities. In addition, Mayo Clinic will present their use of Firestore for multiple workloads including using Firestore’s GenAI capabilities for delivering personalized experiences in their applications. 

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.

Transitioning from their existing threat intelligence providers to Google Threat Intelligence is a priority for many organizations, especially those leveraging VirusTotal and Mandiant offerings. Join Jonas Kelley, Google Security Sales Leader, as he moderates a conversation with Tarah Lewis, Google Security Architect, and Chris Morales, Netenrich CISO. Discover how to assess your readiness, overcome common migration challenges, and transition quickly and seamlessly to enhance your security posture with Google’s comprehensive threat intelligence.

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.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

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.

Cut down approval time and maximize returns on the Deal Acceleration Fund (DAF) and Partner Services Fund (PSF) programs. Learn how to effectively define deliverables and build a compliant SOW for accelerated approval. We'll also break down the optimal pricing strucutres and walk through the approval processes for these programs to accelerate cloud adoption.

Join this Solutions Talk to see Virgin Media O2's self-service data mesh on Google Cloud, built on data tooling and data platform engineering. We'll show their real-world architecture for discoverable, trusted data products, emphasizing data quality, contracts, and management. Hear VMO2's data mesh vision, why contracts and quality matter, and how Google Cloud enables automation, leaving you with actionable insights to unlock your data's potential.

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.

Introducing the reimagined partner portal: your key to a more efficient Google Cloud partnership. Explore new features like Co-Sell and Services registration, Earnings Hub updates, and learn how to navigate this intuitive platform. Discover how these enhancements streamline your experience and maximize your partnership value

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.

Level up your Java apps with the power of Gemini. This session explores how Java developers can easily integrate generative AI features into their applications using LangChain4j. We’ll cover everything from building chatbots and implementing in-context learning to creating agentic workflows and using advanced techniques like unstructured data extraction. Learn best practices and build smart, AI-powered Java applications with ease. No Python experience required.