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.

In today’s complex landscape, APIs can reside anywhere – on premises, in the cloud, or across multiple cloud providers. Join us to discover how API Hub, powered by its innovative on-ramp framework and app integration, delivers a truly unified view of your entire API ecosystem. This session is for practitioners looking to learn how to better discover, manage, and secure all their APIs, regardless of location, with comprehensive analytics and consistent governance policies.

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.

Unlock the power of natural language with Looker Agents! This technical deep dive will walk you through an agentic architecture in Looker Conversational Analytics and showcase how the Chief Product Officer of Zeotap is helping Zeotap customers “chat with their data” within the Zeotap platform using the new Conversational Analytics API. Learn how to build custom data agents, answer questions in Workspace, and create analytics applications with the power of conversational AI.

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.

Unlock the power of lightning-fast vector search for your generative AI applications. This session dives deep into Memorystore vector search, demonstrating how to achieve single-digit millisecond latency on over a billion vectors. Explore cutting-edge gen AI application architectures that leverage vector search and other Google Cloud services to deliver exceptional user experiences.

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.

Building and maintaining detection rules is the cornerstone of any high-performing security operations function, but it’s often easier said than done. Join us for an in-depth exploration of detections in Google Security Operations (Google SecOps) and learn how it empowers detection teams to stay ahead of threats – from curated detections delivered out of the box by Google SecOps to address the latest threats, to building custom rules using entity graphs, AI, and the wealth of functions and context provided by Google SecOps.

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.

The Defender’s Advantage model from Mandiant illustrates the cyber defense capabilities required to actively resist attacks and minimize the impact of a compromise. Partnering with UnitedHealth Group, we leveraged the Defender’s Advantage model to focus on continuous improvement, operationalize threat intelligence, reduce the attack surface, and implement a security validation program. We’ll share case studies and lessons learned about how we developed each of these programs to transform and enhance the organization’s cyber defense capabilities.

AI is revolutionizing observability. Learn about Cloud SQL AI-powered Database Insights and how it can help you optimize your queries and boost database performance. We’ll dive deep into the new Insights capabilities for MySQL, PostgreSQL, and SQL Server, including the Gemini-powered chat agent. Learn how to troubleshoot those tricky database performance issues and get practical tips to improve the performance of your applications.

This session provides a look into how Abridge built a secure and scalable inferencing platform on Google Kubernetes Engine (GKE). We’ll demonstrate how they leverage GKE fleets, Teams, Argo CD, and multi-cluster orchestration to manage and deploy inferencing workloads that span multiple clusters. View a live demo of a complete solution featuring a custom Argo CD plugin that simplifies cluster management and streamlines deployments for platform admins and application teams.

The rise of AI demands an easier and more efficient approach to data management. Discover how small IT teams are transforming their data foundations with BigQuery to support AI-powered use cases across all data types – from structured data to unstructured data like images and text (multimodal). Learn from peers across industries and geographies why they migrated to BigQuery and how it helped them accelerate time to insights, reduce data management complexity, and unlock the full potential of AI.