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.

Tired of building the same old software as a service (SaaS) features? AI and data agents are revolutionizing the SaaS landscape, and developers are at the forefront of this exciting shift. Imagine building applications that can autonomously learn, adapt, and execute complex tasks, all while providing a personalized user experience. This session equips you with the knowledge and tools to build the next generation of intelligent SaaS applications. Learn how leading companies are leveraging AI agents to automate workflows, personalize user interactions, and boost operational efficiency. Discover the latest trends in agent development, best practices for building agent-first applications, and the secrets to successful implementation. And leave with practical insights and a clear roadmap for harnessing the power of agentic AI to create truly innovative SaaS products.

Managing massive deployments of accelerators for AI and high performance computing (HPC) workloads can be complex. This talk dives into running AI-optimized Google Kubernetes Engine (GKE) clusters that streamline infrastructure provisioning, workload orchestration, and ongoing operations for tens of thousands of accelerators. Learn how topology-aware scheduling, maintenance controls, and advanced networking capabilities enable ultralow latency and maximum performance by default for demanding workloads like AI pretraining, fine-tuning, inference, and HPC.

This session provides strategies for maximizing business value with generative AI. We cut through the hype and offer actionable insights for building and deploying advanced gen AI business capabilities. We'll delve into strategies that our customers use to get the most out of their AI investment, explore the essential foundations for scaling up, and share a vision for the future of business operations transformed by agentic AI.

Learn from public sector leaders about how they are innovating and improving the citizen experience with AI-powered tools and virtual agents. By applying technology to streamline processes, personalize interactions, and improve access to information, public sector agencies are able to more efficiently and effectively serve their citizens.

Isomorphic Labs has created an AI drug design engine that reimagined traditional drug discovery approaches and allowed the company to go after some of the hardest disease targets. IsoLabs’ frontier AI research has yielded models that can accurately predict properties of proteins and other molecules and allow chemists to rationally design the next generation of medicines in-silico, in record time.

As the number of distributed and generative AI applications grows in your organization, so will the number of APIs – presenting management and governance challenges. This session introduces API Hub, a solution for unified API management. Learn how to gain centralized observability over your APIs, use the API Hub on-ramp framework to connect to any API gateway, help developers access shared components and standards to build compliant APIs faster, and discover and manage shadow APIs.

What if closing a mortgage was faster, simpler, and more efficient than ever before? United Wholesale Mortgage (UWM), the nation's top loan originator, is making that vision a reality with Google AI. UWM is already seeing dramatic results, including a doubling of underwriter productivity in just nine months. Join us to discover how UWM is leveraging Vertex AI, Gemini Flash, and BigQuery to create a seamless experience for brokers and homebuyers and share their exciting vision for the future of home financing, including agentic AI experiences.

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.

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.

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.
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.

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.

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.