Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

A meetup for DBAs, data engineers, and database architects to share insights, troubleshoot issues, and exchange proven strategies for cloud database management. Explore how relational databases can drive smarter AI by enriching prompts for generation. Learn from real-world experiences and expand your professional network!

In today's competitive financial landscape, delivering exceptional customer experiences is paramount. This panel features American Family Insurance (AmFam), a leader at the forefront of leveraging Google Cloud's Data & AI solutions to transform customer interactions. Join us to discover how AmFam is redefining customer experience in financial services through the power of Google Cloud's Data & AI.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Designed for ISV partners, spur your path to co-sell success with Google Cloud. Gain a clear roadmap to co-sell readiness with resources designed specifically for you. Learn how to streamline onboarding to Google Cloud Marketplace, accelerate go-to-market, and access exclusive incentive programs.

Agentic workflows analyze vast amounts of data and generate insights in real-time, giving you a competitive advantage with your AI offering. But when should you use them and how do you get started? Join DataStax to learn what use cases are best for employing agentic workflows, best practices for assuring accuracy, and getting your agentic AI into production.

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 to break free from the cycle of endless AI Proofs of Concept (POC) and unlock scalable, enterprise-wide impact. In this session, we’ll explore proven strategies for operationalizing AI, including leveraging cloud-native solutions like Vertex AI, building robust MLOps pipelines, and defining measurable ROI tied to business goals. Through real-world examples and actionable insights, learn how to overcome common scaling challenges, drive cultural adoption, and future-proof your AI strategy for sustained innovation and success.

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.

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

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

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

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.

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.