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.

The telecom industry has always been critical to advancing how we communicate, work, and play, whether through creation of our mobile world or streaming through high bandwidth connectivity. In this session we will explore how communication service providers from around the globe are leveraging AI agents across their workforce, customer experience, field operations, network operations, and more.

Build transformative solutions by leveraging Google Cloud's data management and AI. Solutions like BigQuery and AI-first databases enable personalized recommendations and predictive analytics, delivering exceptional customer value. Partners will share best practices for building a successful data management organization with Google Cloud and how this has led to unlocking innovation.

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.

A virtual care concierge can provide patients with support navigating the healthcare system, including finding specialists, scheduling appointments, and comparing treatment options. This service acts as a personal healthcare assistant, offering patients convenient and accessible care options.

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.

A best-in-class collaboration suite, Google Workspace provides a platform that allows your employees to work across your tech stack to do their best work. Join this session to learn best practices from customers and get inspiration on fostering a culture of innovation and positioning your organization for growth.

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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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.

Join us at the #AskFirebase community meetup, where we bring together experts and developers working with Firebase to share their projects, challenges, and solutions. Whether you're integrating Firebase into web, Android, or iOS apps, we want to hear about your experiences. Use this session to connect with the Firebase community and get your questions answered!

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.

Edge computing is becoming increasingly important in the retail industry's digital transformation as it enables innovative customer experiences. As retailers deploy more edge applications and services, securing these environments becomes critical. GDC-Connected extends Google Cloud's infrastructure and services to the edge, offering a robust platform.

This talk will provide you with the knowledge and tools to strengthen your GDC-Connected environment's security through practical demonstrations and real-world examples.

Learn how to leverage Gemini's long context for creating and interpreting data analytics queries using Agentic Retrieval Augmented Generation with NL2SQL techniques and reasoning.

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.

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.

The Google Cloud VC AMA Series will host a special live edition from NEXT 25. In this interactive “ask me anything” session, you’ll hear directly from an investor about the trends shaping their investment decisions, then connect with a successful founder from their portfolio for insights into fundraising and product development.

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.