This session provides a comprehensive guide to building a secure and unified AI lakehouse on BigQuery with the power of open source software (OSS). We’ll explore essential components, including data ingestion, storage, and management; AI and machine learning workflows; pipeline orchestration; data governance; and operational efficiency. Learn about the newest features that support both Apache Spark and Apache Iceberg.

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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Anonymized clinical data can be leveraged to track disease outbreaks, monitor trends in chronic conditions, and identify public health risks. This data would allow for a detailed overview of the health of various communities, including tracking chronic disease trends, identifying health disparities, and highlighting areas requiring attention. Similar to a health checkup for entire populations, this information would enable public health officials to customize interventions and allocate resources more effectively.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.

Breakthrough innovations are great, but are you wondering how other enterprises are using Gemini and Vertex AI? Join Google and industry experts in this session to learn how they are using Gemini and Vertex AI in production to power their workforces and workflows with AI.

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Are you a data scientist or developer using Python to build AI models and generative AI applications? Learn how BigQuery can supercharge Python data science workflows with capabilities that give you the productivity of Python and allow BigQuery to handle core processing. Offloading Python processing enables large-scale data analysis and seamless production deployments along the data-to-AI journey. Find out how Deutsche Telekom modernized their machine learning platform with a radically simplified infrastructure and increased developer productivity.

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.

How are you progressing with your journey to realize business value from AI? Has the reality lived up to its hype? What obstacles to adoption are you facing and what adoption frameworks have led to success? This round-table workshop presents the opportunity for IT executives and leaders to share stories, learn from their peers, and discover approaches and strategies to accelerate AI adoption for business value.

Learn how trailblazing startups use AI agents to transform operations and drive growth. Discover actionable strategies to streamline processes, boost productivity, and unlock groundbreaking solutions with AI. And gain invaluable insights directly from industry leaders.

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.

It's time to ditch ineffective, reactive security approaches. The unique synergy between frontline threat intelligence and AI will usher in a new era of preemptive security protection that enables organizations to operate with confidence in the AI era. In this spotlight, leaders from Google and Mandiant will share our insight into the security landscape and showcase the latest innovations you can use to make Google part of your security team. We’ll demonstrate new agentic security capabilities that can help you prevent threats, eliminate toil, and empower your talent. And you’ll hear from leaders in the public and private sector who have adopted our solutions to transform their security programs. 

Enterprise mission-critical workloads require efficient storage infrastructure that gives the right performance and capacity along with high levels of data protection. Explore Google Cloud’s data protection solutions with the advanced data protection of Google Cloud Hyperdisk and Backup and DR Service. We’ll dive into local protection, regional protection, and immutable and indelible protection for critical applications. Learn from BlackLine, a leading cloud financial software provider, about how they are protecting their business-critical application effectively.

Join us for an engaging meetup with AppSheet Developer experts who'll be on hand to share their top tips and tricks in building Enterprise quality solutions.

This hands-on lab empowers you to build a cutting-edge multimodal question answering system using Google's Vertex AI and the powerful Gemini family of models. By constructing this system from the ground up, you'll gain a deep understanding of its inner workings and the advantages of incorporating visual information into Retrieval Augmented Generation (RAG). This hands-on experience equips you with the knowledge to customize and optimize your own multimodal question answering systems, unlocking new possibilities for knowledge discovery and reasoning.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!