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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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.

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.

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.

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.

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.

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. 

Accelerate Android development in your company with the new Gemini in Android Studio Standard and Enterprise tiers. These new tiers bring together the best of Google AI coding assistance, AI capabilities for Android development, and the enterprise-readiness of Gemini Code Assist. In this session, you’ll learn about the benefits of Gemini in Android Studio and how to use the wide array of features – such as compose preview generation, transforms, chat, and more – to take your company’s Android development to the next level.

Go under the hood to understand how the database features of Gemini Code Assist are giving application developers exciting new superpowers. Learn how Gemini powers the industry’s leading automated database querying, smarter application code wrangling in the integrated development environment (IDE), and entirely new agentic AI application features powered by enterprise data. Learn from Google Cloud engineers, and industry experts about how these features are having an impact today. And discover the secret sauce that makes these superpowers possible.

Granting users the minimum level of access and permissions needed to perform their jobs can reduce the attack surface area of your cloud environment. Learn how Security Command Center integrates cloud infrastructure entitlement management (CIEM) to help you understand which users have access to which cloud resources, get machine learning (ML)-generated recommendations to reduce unnecessary permissions, and accelerate responses to identity-driven vulnerabilities.

Imagine never writing another detection rule, manually creating postures, or remediating common findings. These are the toilsome workflows security teams deal with today that AI promises to offload, thanks to agentic capabilities. When infused through existing tooling, agentic AI will fundamentally change how security teams work, freeing teams to focus on complex issues while reducing time to detect and respond. Join this session to learn how agentic AI is transforming the user experience and driving security outcomes for modern enterprises.

Spanner Graph provides graph database capabilities at virtually unlimited scale and allows you to seamlessly interoperate between relational and graph data models. Join this session to learn about the latest capabilities in Spanner Graph and how you can build intelligent applications with it.

Boost your productivity with Gemini Code Assist tools. This session demonstrates how to seamlessly integrate your daily tools – source code management, task management, Google Drive, and more – directly into your integrated development environment with Gemini Code Assist chat. Discover the latest Gemini Code Assist features and capabilities, learn best practices for integrating AI into your software development workflow, gain insights into modernizing legacy codebases, and learn how to improve code quality and accelerate development cycles.

Cyberattacks are escalating, with healthcare facing devastating ransomware attacks in 2024. Attackers exploit vulnerabilities to cause chaos, disrupting critical services. Effective defense requires a comprehensive approach, including technical solutions, legal preparedness, and robust incident response. This talk provides actionable insights for building resilience against evolving cyberthreats.