Unlock the power of generative AI and data. Join experts from LlamaIndex and Google Cloud databases and learn how to seamlessly integrate LlamaIndex with AlloyDB and Cloud SQL for PostgreSQL, enabling your apps to reason, act on your data, and leverage the performance of Google Cloud. We’ll share real-world examples and code. Discover new possibilities for building advanced gen AI applications.

This session explores patterns for productionizing AI applications on Google Kubernetes Engine (GKE). Learn to leverage open source frameworks, cloud AI services, and readily available models to train, deploy, and scale with GKE. We’ll share real-world customer stories and best practices for productionizing AI solutions on GKE.

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

Dive into the world of serverless GPUs with Cloud Run. This talk explores how Cloud Run delivers on-demand GPUs with unprecedented flexibility and cost efficiency. Learn how you can achieve optimal performance and resource utilization with rapid autoscaling and scaling to zero. And discover how Cloud Run GPUs can help you build AI inference apps with open models, high-performance computing, graphics rendering, and much more.

Creating a business case to modernize technology has always been challenging. Hear how McKinsey is using a multi agent architecture to automate complex software development flows efficiently and cost-effectively. See how gen AI agent squads are foundational for scaling workforce talent and enhancing organizational capabilities. Learn best practices and see real-world examples of how organizations are using a multi-agent gen AI approach to achieve faster, cheaper, and better results.

This Session is hosted by a Google Cloud Next Sponsor.
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AI is revolutionizing enterprise operations by transforming unstructured data into actionable intelligence, reducing manual effort, & converting data into powerful drivers of smarter, more connected operations. Explore the dynamic interplay of AI agents, collaborating seamlessly to orchestrate specialized tasks in real-time. Learn how connected intelligence breaks down silos, integrating data & systems to drive proactive, efficient operations. See this shift in action with Leah to learn how you can apply these best practices in your industry.

This Session is hosted by a Google Cloud Next Sponsor.
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Join us to explore the next generation of in-car experiences. Discover how leading automakers are leveraging Automotive AI Agent and Google Cloud’s Gemini model to build cutting-edge, multimodal automotive assistants. Learn how to create unique brand experiences with customized voice assistants, complete data ownership, and personalized in-car interactions. This session will showcase the power of hybrid voice assistance and how you can unlock the potential for differentiated driver experiences through custom features and granular control.

This session explores the business drivers for ESG data in the current business climate and delves into the technical architecture of a robust ESG data management solution. Discover how to integrate AI and data agents with core enterprise systems, like SAP and Cortex, and incorporate crucial third-party ESG data from sources like ESG Book to enhance business decision-making. We will also showcase real-world examples of how to integrate Google Cloud with platforms like Watershed to build a complete ESG data ecosystem. 

This Session is hosted by a Google Cloud Next Sponsor.
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Discover why Danfoss, a global leader in energy-efficient solutions, tackled the AI-driven demand forecasting challenge. Accurate forecasting is vital for optimizing supply chains, reducing costs, and enhancing customer satisfaction. Partnering with Google Cloud and Capgemini, Danfoss developed a system tailored to its needs. Understand the transformative impact of AI-driven demand forecasting and why solving this problem is crucial now for Danfoss to stay competitive and support global sustainability goals.

This Session is hosted by a Google Cloud Next Sponsor.
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This talk delves into the difficulties of managing AI costs, emphasizing cost estimation across various model deployments (closed foundation models, non-cloud provider APIs, and local models). Key areas of focus include strategies for projecting AI spend at both the workload and enterprise level, implementing cost showback mechanisms, optimizing AI spending, and developing business plans and forecasts using ML and GenAI.

Default service accounts in Google Cloud have been an area of interest for threat actors. Cloud administrators can sometimes grant unintentionally broad permissions through this mechanism to their workloads, such as virtual machines and Kubernetes clusters. In this talk, we will discuss the role of default service accounts in Google Cloud Compute Engine (GCE) and Google Cloud Kubernetes Engine (GKE), and best practices for managing and securing them.

This Session is hosted by a Google Cloud Next Sponsor.
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Get educated on the latest Google Cloud Marketplace platform features and upcoming capabilities designed to help partners accelerate revenue growth. Discover enhanced channel reseller and ISV private offer capabilities, strategies for product-led expansion, GTM incentives, and streamlined billing and invoicing processes. We'll also dive into exciting new solution categories, including datasets, professional services, and AI agents, to widen your offerings and reach new customers.

How do you blend AI efficiency with human empathy to build stronger, lasting customer relationships? With the rise of AI, the human element is increasingly a critical differentiator for companies. Join Dialpad Chief Marketing Officer, Jen Grant, and Dialpad Director, Automatic Speech Recognition, Natalie Owen, to learn how organizations can deliver real-time coaching and context-aware suggestions that empower agents to deliver emotionally resonant, high-value customer interactions.

This Session is hosted by a Google Cloud Next Sponsor.
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Discover how NetApp Volumes, a Google Cloud managed data storage service that provides advanced data management capabilities and highly scalable performance, can accelerate your workloads, enable hybrid deployments, and provide cloud bursting for AI, EDA, media and entertainment, and others by extending your on-premises data into Google Cloud, all while keeping your data available and secure. Join us to explore how NetApp and Google Cloud together drive innovation and operational excellence.

This Session is hosted by a Google Cloud Next Sponsor.
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Production-ready apps, including GenAI apps, demand robust telemetry. Explore the full lifecycle: from data generation to consumption. See how OpenTelemetry, scaled by BindPlane, delivers enterprise-grade observability within Google Cloud. Learn to centralize data, cut costs, and achieve proven customer success!

AI reasoning models and agents are reshaping the AI landscape, ushering in a new era of autonomous decision-making and action. Accelerated computing is crucial for delivering exceptional user experiences, enabling real-time responses and timely actions while reducing deployment costs at scale. The NVIDIA and Google Cloud partnership delivers cutting-edge AI infrastructure, enterprise-grade software, and optimized AI models, providing the foundation to build and deploy this new class of AI systems. Discover how NVIDIA AI, integrated across Google Cloud, offers developers flexibility and choice while delivering best-in-class performance and TCO, transforming enterprise AI in this new era.

This Session is hosted by a Google Cloud Next Sponsor.
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Dive deep into Google Cloud’s industry-leading approach and total transparency to incident communications through Personalized Service Health. Learn how Google leverages machine learning (ML) to provide fast and relevant insights through Personalized Service Health, so you can integrate them into your incident response, whether it’s through AIOps platforms or conventional incident management systems. Go beyond the theory and dive deep into real-world customer examples and experiences of these patterns, and hear how experts from SAP approach incident response with Personalized Service Health.

Developers love Cloud Run. In this demo-driven talk, you’ll discover why Cloud Run offers simplicity alongside flexibility for running your code. We’ll begin with a couple of basic getting-started concepts. Then we’ll go into “How do I” scenarios that cover every feature from Virtual Private Cloud (VPC) access to startup probes. Too much info? We’ll have codelabs for you to do at your own pace.

Modern analytics and AI workloads demand a unified storage layer for structured and unstructured data. Learn how Cloud Storage simplifies building data lakes based on Apache Iceberg. We’ll discuss storage best practices and new capabilities that enable high performance and cost efficiency. We’ll also guide you through real-world examples, including Iceberg data lakes with BigQuery or third-party solutions, data preparation for AI pipelines with Dataproc and Apache Spark, and how customers have built unified analytics and AI solutions on Cloud Storage.

Learn how a financial services company successfully transitioned its petabyte-scale logging platform from an on-premises environment to a scalable, cost-effective, and secure solution on Google Cloud. This talk will delve into the key phases of their journey, including rigorous benchmarking, scale testing, and the implementation of seamless log ingestion. Explore how the solution leveraged Terraform-driven automation to efficiently manage over 250,000 resources and preserved existing content such as searches, alerts, and dashboards.