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.

Faster AI innovation cycles often require MLOps – a critical, but complex, undertaking. Join us in this session to discover how a platform approach to MLOps on Vertex AI simplifies and accelerates the entire AI life cycle. Learn how to streamline development, deployment, and management of your AI models. We’ll also share real-world success stories from customers like GSK.

Scale your AI training and achieve peak performance with AI Hypercomputer. Gain actionable insights into optimizing your AI workloads for maximum goodput. Learn how to leverage our robust infrastructure for diverse models, including dense, Mixture of Experts, and diffusion. Discover how to customize your workflows with custom kernels and developer tools, facilitating seamless interactive development. You'll learn firsthand how Pathways, developed by Google Deepmind, enables large scale training resiliency, flexibility to express architecture.

AI offers the opportunity to transform manufacturing. In this session, we’ll share Google Cloud’s perspective and specific use cases that can boost productivity and operational efficiency, including new research findings. The session features customers at the forefront of the AI revolution and the foundational pillars that manufacturers need to innovate at scale.

Architect and deploy secure cross-cloud networks with confidence. This session delivers expert guidance on designing and deploying Google Cloud’s Cross-Cloud Network security solutions to help protect against a wide range of network threats, including exploits, malware, DDoS, data exfiltration, and more. Discover best practices for configuring Cloud NGFW, Cloud Armor, and Secure Web Proxy (Cloud SWP) to address critical security concerns and build a resilient cloud infrastructure.

Ready to build production-grade AI agents to solve real-world challenges? Join us for a deep dive on the Vertex AI Agent Builder. Learn how to create sophisticated, multi-agent applications that combine generative AI with deterministic workflows. We'll cover key features including the Google Agent Development Kit (ADK), the Vertex AI Agent Garden, and the Vertex AI Agent Engine. We’ll show you how to build, deploy and monitor agents in production. You will also learn directly from customers about their agents built on Vertex AI.

Join us to discuss serverless computing and event-driven architectures with Cloud Run functions. Learn a quick and secure way to connect services and build event-driven architectures with multiple trigger types (HTTP, Pub/Sub, and Eventarc). And get introduced to Eventarc Advanced, centralized access control to your events with support for cross-project delivery.

Want to create a retrieval-augmented generation (RAG) system perfectly tailored to your data and use case? This session dives into building custom RAG pipelines on Vertex AI. Learn how to combine Vertex AI services like document processing, vector search, and grounding to build powerful, context-aware AI applications.

Join Virgin Media O2 and Google for a technical discussion about lessons learned and best practices for building and scaling a data fabric on BigQuery. Find out how Virgin Media O2 eliminated silos and enabled secure and governed data sharing at scale to drive better decisions and get more value from their data.

Generative AI and machine learning (ML) are transforming industries, but many smaller organizations believe these technologies are out of reach due to limited resources and specialized skills. In this session, we’ll demonstrate how BigQuery is changing the game, making gen AI and ML accessible to teams of all sizes. Learn how BigQuery – with its serverless architecture, built-in ML capabilities, and integration with Vertex AI – empowers smaller teams to unlock the power of AI, drive innovation, and gain a competitive edge.

Join this session to discover how a phone plan selection app, built with Flutter and Firebase, leverages Gemini 2.0 to enhance and simplify the customer experience. Gain insights into the technical architecture, identify actionable strategies to implement similar AI-driven solutions in your own apps, and understand the key principles of using AI to enhance the customer experience.

Organizations are racing to deploy generative AI solutions built on large language models (LLMs), but struggle with management, security, and scalability. Apigee is here to help. Join us to discover how the latest Apigee updates enable you to manage and scale gen AI at the enterprise level. Learn from Google’s own experience and our work with leading customers to address the challenges of productionizing gen AI.

Language models have already evolved to do much more than language tasks, principally in the domain of image, audio, and soon video. Join Mostafa Dehghani to explore the emergent frontier of multimodal generation, what Gemini’s world knowledge unlocks that domain specific models cannot create, and how developers should be thinking about AI as a next-generation creative partner.

Join us for an insightful discussion with Understood.org, a leading nonprofit dedicated to supporting the 70 million Americans with learning and thinking differences, and discover how empowering neurodiverse employees with tools like Google Workspace and Gemini can foster a more productive workplace.

Managing apps in the cloud can be complex. With your app’s footprints in many places across the platform, simply staying informed can be challenging. How do you know if your app is meeting performance targets? How can you optimize costs or anticipate the impact of maintenance? Join this session to learn about a new user experience on Google Cloud that will greatly simplify cloud operations by centralizing essential information and insights so you can focus on what matters most. Speakers will share the story of how they built it and show you how to leverage it to boost the efficiency of your everyday job.

Join an insightful fireside chat with Jeff Dean, a pioneering force behind Google’s AI leadership. As Google's Chief Scientist at DeepMind & Research, Jeff will share his vision on AI and specialized AI hardware, including Cloud TPUs seventh generation chip; Ironwood. What exciting things might we expect this to power? What drives Google’s innovation in specialized AI hardware? In this spotlight, we’ll also discuss how TPUs enable efficient large-scale training and optimal inference workloads including exclusive, never-before-revealed details of Ironwood, differentiated chip designs, data center infrastructure, and software stack co-designs that makes Google Cloud TPUs the most compelling choice for AI workloads.

Discover real-world examples of how generative AI is delivering tangible success across key industries – and where this technology is headed next. Hear from two experienced Google Cloud partners, EPAM and Persistent, as they share their experiences of harnessing the broad power of gen AI to solve niche challenges within traditional organizations.

Even cloud security experts can struggle with application and data compliance. Discover how Security Command Center is simplifying cloud compliance by bringing together configuration, monitoring, and evidence generation. Learn how a unified cloud compliance solution can make it easy to apply prebuilt and custom compliance frameworks, check compliance status with a centralized dashboard, and automatically generate audit reports to prove compliance.

As organizations increasingly adopt cloud technologies, threat actors have adapted their tactics to exploit vulnerabilities within cloud environments. This threat briefing explores the methods employed by malicious actors to compromise cloud services, including the exploitation of misconfigurations, weaknesses in identity and access management, and shared resources. Attendees will learn how the threat landscape is shifting and how to be more proactive by understanding how the tactics, techniques, and procedures are evolving.

Learn how Database Migration Service can help you modernize your SQL Server databases to unleash the power of cloud databases and open source PostgreSQL! Convert your SQL Server schema and T-SQL code to PostgreSQL dialect with a click of a button in the DMS Conversion Workspace. Some objects could not be fully converted? Gemini can suggest a fix. Not yet familiar with PostgreSQL features? Ask Gemini to teach you how to convert SQL Server features to PostgreSQL equivalent ones. While Gemini is there - ask it to optimize the converted code or add some comments to explain the business logic. Once your database is fully converted and optimized you can migrate the data with minimal downtime using the change data capture powered migration job and complete your migration journey.