Join Matt Bell, VP of Product Research at Anthropic, to discuss how startups can thoughtfully leverage foundation models like Claude on Vertex AI. Learn practical strategies for identifying high-impact AI use cases, avoiding common pitfalls, and building responsible AI-powered products. Explore insights on determining when and how to integrate foundation models, balancing immediate gains with long-term innovation, and navigating the rapidly evolving AI landscape as a startup founder or employee.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Learn from industry leaders how they migrated their platforms to BigQuery for business transformation. They’ll share how they simplified the migration process, unified their data for better insights from analytics and AI, and accelerated AI adoption with BigQuery and Vertex AI. Discover how they achieved real-world results, such as driving business growth, reducing costs, and improving customer experiences.

Discover how Google’s interconnected ecosystem of Google Cloud platform and specialty solutions can address the needs and challenges of resource-constrained IT teams. We’ll delve into practical use cases and demonstrate how Google Cloud’s specialized business intelligence platform (Looker) and security solutions (Google Security Operations, Mandiant) can help your business improve efficiency and reduce costs while improving your security posture.

Discover how Definity used GenAI-enabled Agent Assist to improve agent and customer experience while boosting call centre efficiency and accelerating agent onboarding. We'll showcase the key features of this powerful technology, such as automated transcript generation, real-time contextual call guidance, "ask me anything" capabilities for quick information retrieval, and efficient integration directly into existing Salesforce desktop and backend insurance policy systems.

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.

Want to deploy open source models efficiently? Join this session for a technical deep dive into best practices for deploying and optimizing models like Llama and Gemma on Vertex AI.

Modernize business processes and ignite innovation. Google Cloud infrastructure uniquely offers unmatched performance, scalability, and reliability for your mission-critical SAP workloads, especially for RISE with SAP. Learn how enterprises are future-proofing their SAP landscapes with Google Cloud, unlocking data and accelerating business outcomes. Discover best practices to transform your SAP deployments into a foundation for innovation. Don’t miss these real-world customer success stories.

Transform your AI research into real-world applications with Google’s latest tools. This session explores the seamless integration of the Gemini API, Google AI Studio, Gemma, and Kaggle to accelerate your development workflow. Learn how to build and prototype models effortlessly, leverage lightweight open models, and collaborate with a thriving community. Discover how to deploy your experiments in production using Cloud Run and Vertex AI. Join us to bridge the gap between research and reality with Google AI.

Discover how one of Europe's largest data warehouses was seamlessly migrated from Teradata on-premises to Teradata Vantage on Google Cloud in just six months. Learn about the automated data reconciliation, parallel runs, and rigorous testing that reduced operational costs by 30% and ensured zero disruption. Explore the foundation laid for future data-driven innovations. Don't miss this session to gain valuable insights and strategies for your own data transformations.

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 full potential of your Google Cloud investment. Learn how Shopify strategically uses committed use discounts (CUDs) to optimize their cloud costs. This session reveals practical techniques to proactively manage CUDs and minimize wasted spend. We’ll also show you how to integrate discounting into Google Cloud’s pricing calculator to help engineering teams make accurate, efficient cost estimates for projects.

Gemini models were built from the ground up to be multimodal, which has enabled a new frontier of applications that were not possible cost- and performance-wise. Join Jean-Baptiste Alayrac and Anirudh Baddepudi to explore how Gemini is enabling an entirely new computer vision ecosystem powered by large language models (LLMs), where the models show the strongest potential, and how to get the most out of Gemini for vision use cases.

In a world where speed and innovation are paramount, bolting on security after deployment is no longer an option. In this Spotlight, experts from Palo Alto Networks and Google Cloud will dive into the future of AI security through practical experiences faced by customers to address today and tomorrow's most pressing challenges in AI adoption—Shadow AI, data governance complexities, and the evolving threat landscape to AI applications. Discover how a Secure by Design approach, with security embedded across AI initiatives from inception, ensures resilience, scalability, and trust. Don't miss this opportunity to gain actionable insights for accelerating your AI journey securely.

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.

The most exciting innovations today - from AI to scientific discovery to enterprise IT optimization - all have something in common: a foundation of powerful infrastructure. Learn how enhancements to AI Hypercomputer - from TPUs and GPUs, to storage and networking, to frameworks like JAX - scale performance and cost efficiency for inference, training, and scientific computing. Discover how new workload-specific capabilities across core infrastructure services improve performance & reliability for modern applications and enterprise workloads like SAP and VMWare.

Leading financial institutions are driving significant change by transforming core business functions with AI agents, and delivering tangible results. Join us to explore their strategies, the future impact of AI agents, and how other financial services companies can adopt similar approaches.

Join us to learn how you can build on Google’s intelligent, open, and unified Data Cloud to accelerate your AI transformation. This session covers deep integrations between BigQuery and Google’s operational databases, such as Spanner, AlloyDB, Bigtable, Cloud SQL. Mercado Libre will share how Spanner and Bigtable Data Boost enable near-zero impact analytics on their operational data. Plus, discover how Datastream and change streams simplify data movement to BigQuery, and how reverse ETL (extract, transform, and load) from BigQuery powers operational analytics.

Learn how Firebase App Hosting simplifies deploying and managing Next.js and Angular web apps on Google Cloud infrastructure. With seamless GitHub integration, global scalability, and built-in observability, App Hosting is designed for production-ready deployments. In this session, you’ll watch live demos and explore streamlined workflows to elevate your web app deployment process.

Leverage the best of Ray and Google Kubernetes Engine (GKE) to build your next-generation machine learning (ML) platform. Google and Anyscale are making Ray and Kubernetes the distributing operating system for AI/ML. Discover how on GKE, Ray enables you to deliver a unified platform to scale your workloads from development to large-scale production. Learn about GKE’s latest advancements for fast data access, intelligent scheduling, and optimized utilization of hardware accelerators, and how Ray and Anyscale RayTurbo are enhancing that with best-in-class performance, efficiency, and developer productivity. Leave this session equipped to build a scalable AI/ML platform to empower your researchers and engineers.

Come join us as we take a deep dive into using Cloud Run for high-availability applications that are resilient to regional outages with no additional costs or complexity. Learn how you can minimize service disruptions to ensure your business continues to operate smoothly, even during a regional outage, with minimal toil on Cloud Run. This session covers a range of topics, including fault tolerant design, multi-region deployment, automated failover, and more.

New AI workloads in the enterprise can create new and novel security exposures. In this session, you’ll learn directly from our Mandiant team about what they are seeing in this new AI-driven world. And we’ll share how Google Cloud AI protection capabilities can help protect your workloads against the most sophisticated threats. We’ll guide you through how you can protect your data, models, applications, and infrastructure throughout the AI life cycle.

Learn how to write powerful, multi-turn AI prompts, and how our most capable AI model, Gemini, can help you do your best work. We’ll cover the advanced capabilities of Gemini for Google Workspace and share examples of effective prompts, whether you’re using apps like Gemini, Gmail, Docs, Sheets, Drive, Vids, or NotebookLM. We’ll cover how large language models (LLMs)  work and how outputs are based on the quality of an input. You’ll leave this session empowered to prompt like a pro.