Running AI workloads on Google Kubernetes Engine (GKE) presents unique challenges, especially for securing the right hardware. Whether you’re dealing with unpredictable demand and varying job durations or simply looking to control costs, this session will equip you with the knowledge and tools to make informed decisions about your GKE AI infrastructure. We’ll explore recent advancements in Dynamic Workload Scheduler, custom compute classes, and Kueue, demonstrating how these technologies can help you effectively access and manage diverse hardware resources.

Experience the power of AlloyDB Omni, a cutting-edge PostgreSQL-compatible database designed for multicloud and hybrid cloud environments. This session explores how AlloyDB Omni accelerates the development of modern applications, enabling generative AI experiences, efficient vector search, real-time operational analytics, and scalable transactional performance. We’ll also showcase how to run your applications on multiple clouds using Aiven’s seamless managed service, and how to supercharge hybrid cloud deployments with cloud-ready partners.

Discover how Google Distributed Cloud empowers partners to deliver AI solutions for edge and on-premises environments. Learn how the GDC Partner Initiative can help you drive innovation with customers, expand service offerings, and grow revenue. Hear directly from one of our pioneering partners about their journey leveraging GDC to capitalize on market demand while creating new business opportunities in a rapidly evolving market.

The open-source AI agent landscape is thriving with innovation. This session is your definitive guide to building, deploying, and monitoring OSS agent frameworks. Learn patterns and best practices that combine the best of open-source frameworks with the AI platform built for production – Vertex AI. In this session, we'll cover techniques for multi-agent orchestration, working with diverse data sources, and building autonomous workflows. Join us on a journey from open-source agent frameworks to production-grade agent deployments and LLMOps on Vertex AI.

Dive deep into how governance, security, and sharing are innately integrated in BigQuery to power data and AI use cases across your organization. Learn about new innovations that further enhance data governance, security, and collaboration across data and AI assets, without you having to leave BigQuery. Find out how data governance leaders at Walmart and Box are using BigQuery to securely scale data and AI across their organizations.

If you’re responsible for website security and looking to protect against automated bot attacks, account takeovers, authentication fraud, and you’re also looking to reduce the costs of SMS fraud, stolen credit cards, and other transaction fraud mechanisms, this session is for you. We’ll cover the most recent advancements in reCAPTCHA, explore use cases in several large deployments across different industry verticals, learn from an actual customer using reCAPTCHA to protect their website, and dive into the technical details with reCAPTCHA engineering.

Are you a site reliability engineer (SRE) for an organization running generative AI workloads? If gen AI is transforming your workloads, are your SRE skills keeping pace? This session is a must for SREs facing the unique challenges of gen AI. Learn to adapt the four golden signals – tackling latency in multistage pipelines, user satisfaction in nondeterministic systems, and new error types like hallucinations. Discover how Google Cloud Observability and Firebase Genkit AI monitoring can help you master gen AI SRE.

Grappling with scaling your AI and machine learning (ML) platforms to meet demand and ensuring rapid recovery from failures? This session dives into strategies for optimizing end-to-end startup latency for AI and ML workloads on Google Kubernetes Engine (GKE). We’ll explore how image and pod preloading techniques can significantly reduce startup times, enabling faster scaling and improved reliability. Real-world examples will show how this has led to dramatic improvements in application performance, including a 95% reduction in pod startup time and 1.2x–2x speedup.

This session explores how Looker and Google Workspace work together to bring data-driven decisions right into your everyday workflow. Learn how to leverage Looker spreadsheet-based business intelligence (BI) capabilities with Connected Sheets, integrate Looker with other Workspace apps, automate slide generation, and use the advanced features of Looker Studio Pro. And view a live demo of Looker BI agents in Google Chat. Ideal for anyone looking to streamline their data workflow and enhance collaboration within their Workspace environment.

Explore the latest advancements in the open source software (OSS) world of in-memory data management and the launch of Memorystore for Valkey. Discover the exciting new features and enhancements in Valkey 8.0, including a preview of upcoming open source innovations on the roadmap. Join us for a deep dive with a customer who will share their real-world experience using Valkey within their architecture. Learn how they leverage the power of in-memory data to achieve exceptional performance and scalability.

Unlock Data-Driven Automation with LangGraph. This session demonstrates how to build agents that leverage data directly from BigQuery to drive marketing campaign creation. Discover how LangGraph empowers seamless integration between data analysis and action, allowing for intelligent automated workflows.

Discover how Snap and Google Cloud are redefining AI-powered engagement through cross-team collaboration with Google. This session will teach you how Snapchat leverages Google to enable their growth and platform advancement.  Gain insights into Snap’s holistic journey, the impact of a tailored Google approach and engagement model, and strategies for startups to integrate Google’s solutions to enable the growth of your platform.

This talk explores a solution for the analysis of medical images, with the goal of identifying subtle indicators of cancer. The solution encompasses the ingestion, analysis, annotation, and storage of medical images to facilitate the detection of cancerous cells and enable further insights. Additionally, the solution supports the development of AI diagnostic models by converting images and metadata into formats conducive to machine learning, such as embeddings.

Abstract - AI is revolutionizing the underwriting process in the insurance industry. This session will explore how AI-driven models can streamline risk assessment, enhance decision-making, and improve customer experiences. We'll discuss the benefits of AI in underwriting, along with the challenges and ethical considerations of implementation. Attendees will gain insights into the latest AI tools and best practices for integrating AI into their underwriting workflows, driving efficiency and accuracy in risk management.

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AI agents are revolutionizing automation, efficiency, and innovation. Join this lightning talk to discover how AI Agentspace 3P on Google Cloud Marketplace unlocks new revenue streams, extends customer reach and enables you for joint GTM and cosell opportunities.

Looker is evolving! Join us for a deep dive into the reimagined Looker experience, where data exploration, analysis, and reporting are more intuitive, collaborative, and powerful than ever before. In this session, we’ll explore how Studio in Looker combines the flexibility of Looker Studio visualizations and reporting with the governance and trustworthiness of the Looker semantic layer.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Leverage the flexibility of Cloud Run and its ease of use for your Apache Kafka workloads. In this session, we’ll introduce Cloud Run worker pools, a new resource specifically designed for non-request-based workloads, like Kafka consumers. Learn how worker pools, along with a self-hosted Kafka autoscaler, can enable fast and flexible scaling of your Kafka consumers by using Kafka queue metrics.

Go 1.24 unlocks the power of WebAssembly (Wasm) with new tooling for building high-performance edge applications. In this session, we’ll show you how to leverage the speed, security, and portability of Go to create low-latency Wasm modules that run on Google Cloud’s Service Extensions. We’ll also show you how Shopify uses Go and Service Extensions to move more application logic to the edge to reliably serve millions of customers.

Discover the cutting edge of foundation model development with JAX on Google Cloud. This session will showcase the latest advancements in the JAX ecosystem, including optimized performance on TPUs and GPUs. Explore new, high-performance models powered by MaxText and MaxDiffusion, delve into enhanced JAX libraries and Stable Stack packages, and learn about advanced diagnostics tools. Gain insights into how leading customers and partners are leveraging JAX on Google Cloud to build and deploy next-generation foundation models at scale.

Grow your business and help customers build a greener future with AI. The Google Cloud Ready Sustainability program empowers partners with the tools and resources to deliver sustainable AI solutions. Learn how to leverage AI-optimized infrastructure, measure and optimize energy consumption, and reduce your carbon footprint, while helping your customers do the same.

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

Migrations can feel daunting, especially for small teams. This session offers practical tips, tools, and strategies to plan and execute migrations efficiently, minimizing downtime and maximizing your existing resources. You’ll view a live demo of Google’s migration tools and learn from TRIARQ Health about how they successfully navigated their own migration to Google Cloud.

Dive deep into the world of multimodal analytics with BigQuery. This session explores how to unlock insights from all data types in BigQuery using embeddings generation and vector search. We’ll demonstrate how BigQuery object tables combine text, documents, and images to unlock popular use cases like recommendation engines and retrieval-augmentation generation (RAG). Learn how to leverage BigQuery as a knowledge base to ground your cutting-edge AI application with your own enterprise data.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.