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.

NVIDIA GPUs accelerate batch ETL workloads at significant cost savings and performance. In this session, we will delve into optimizing Apache Spark on GCP Dataproc using the G2 accelerator-optimized series with L4 GPUs via RAPIDS Accelerator For Apache Spark, showcasing up to 14x speedups and 80% cost reductions for Spark applications. We will demonstrate this acceleration through a reference AI architecture on financial transaction fraud detection, and go through performance measurements.

Unstructured data makes up the majority of all new data; a trend that's been growing exponentially since 2018. At these volumes, vector embeddings require indexes to be trained so that nearest neighbors can be efficiently approximated, avoiding the need for exhaustive lookups. However, training these indexes puts intense demand on vector databases to maintain a high ingest throughput. In this session, we will explain how the NVIDIA cuVS library is turbo charging vector database ingest with GPUs, providing speedups from 5-20x and improving data readiness.

This Session is hosted by a Google Cloud Next Sponsor.
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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.

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.

Concerned about the quality and reliability of your generative AI models? Join us in this session if you understand the critical role of evaluation in development. Learn from Google and industry experts as we focus on how the Vertex AI evaluation service helps you validate every stage of the life cycle for quality and trust.

Jeff, Head of Product at Hugging Face, will walk you through the latest and greatest from Hugging Face to build your own AI models, agents and applications using open models, open source and Google Cloud. Learn how to easily deploy the latest LLM on Vertex AI and GKE, how to accelerate and scale your models on TPU.

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.

Join us for an exciting session where experts from Salesforce and Google will discuss their innovative partnership aimed at transforming customer engagement. This collaboration focuses on integrating Salesforce Service Cloud with the Google Customer Engagement Suite to help organizations solve problems faster, improve customer satisfaction, and drive revenue with AI. Discover how Service Cloud, leveraging Google's technology, is building AI-powered contact centers to drive customer success by combining the strengths of humans and agents.

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 will demonstrate how the SAP user community can use Looker/Explore Assistant Chatbot to explore data insights into SAP ERP data stored on Google Cloud's BigQuery using natural language prompts. We will discuss the challenge of accessing and analyzing SAP data - ETL, Complex Data Model, introduction to Generative AI and Large Language Models (LLMs), and Looker Explore Assistant and Chatbot This presentation will illustrate how SAP users can leverage Looker and Explore Assistant Chatbot to gain insights into their SAP ERP data residing on Google Cloud's BigQuery, using natural language prompts. We will address common challenges in accessing and analyzing SAP data, such as ETL processes and complex data models. Additionally, we will provide an introduction to Generative AI and Large Language Models (LLMs), as well as an overview of Looker Explore Assistant and Chatbot's capabilities.

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.

From AI-powered automation to resilient supply chains, quantum is driving the next era of intelligent manufacturing. Join TCS in this interactive session as they share insights on meeting fluctuating demands, solving complex optimization problems, accelerating R&D, enhancing real-time logistics, and enabling defect-free production at unprecedented speed with the power of quantum.

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 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!

AI is transforming industries, but its success hinges on one critical factor: high-quality, abundant data. From ingestion to consumption and modernization to validation, multiple AI agents work together to manage the data life cycle to have good data quality. Yet, as data growth slows down, lets understand how can we fuel growth with synthetic data. We’ll discuss where we are now, what comes next, and how to connect every dot in data modernization and migration.

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.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

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.

Join the CxOs of Cresta, Glean, and Weights & Biases for a deep dive into the best practices for deploying production-ready AI applications across your enterprise. The panelists will review proven strategies for overcoming common implementation challenges and how to manage your AI deployments at scale while maximizing return on investment (ROI). They’ll also offer their predictions for the future, exploring how agents will unlock new possibilities for innovation and growth across industries.

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.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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!

Join this session to learn how to ground your AI with relevant data with retrieval-augmented generation (RAG) from Firebase Data Connect, which brings rapid development and intelligent context from your Cloud SQL database to your generative AI experiences. Data Connect makes it easy to connect your app, data, and AI all together, and seamlessly integrates Vertex AI and Cloud SQL to make RAG easy and ready for AI agents.

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.

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. 

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

As GenAI grows more sophisticated, it's ever more important to ensure responsible AI. Learn how Priceline integrates guardrails to provide an additional layer of safety and control, effectively managing LLM outputs while maintaining ethical AI practices.