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The number of ISV and startup solutions being transacted on Google Cloud Marketplace continues to grow, with the number of third-party transactions growing 1.5X year over year since 2022. Learn how your startup can accelerate revenue growth and go-to-market on Google Cloud Marketplace, including co-selling with Google Cloud and driving success in AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object storage solution for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Compute Engine, Google Kubernetes Engine, or Vertex workflows. We’ll also dive into how to optimize analytics workloads with Cloud Storage and Anywhere Cache.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

JAX is an ML framework that has been widely adopted by foundation model builders because of its advantages like high performance, scalability, composability, and ease of programmability. In this session, we will showcase the entire ecosystem supported by JAX for end-to-end foundation model building from data loading to training and inference on both TPUs and GPUs. We'll highlight the entire JAX stack, including high performance implementations for large language models and diffusion models in MaxText and MaxDiffusion. Learn how customers such as Assembly AI, Cohere, Anthropic, MidJourney, Stability AI, and partners like Nvidia, have adopted JAX for building foundation models on Google Cloud and beyond.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Relying on third-party-hosted artificial intelligence (AI) models may not always be an option for your application. You are also not guaranteed support for those model endpoints through your next software release. By hosting state-of-the-art AI models like Gemma in the same environment as AlloyDB Omni, you can run scalable generative AI apps on any cloud or on premises, for regulatory needs, with low latency. Learn from Neuropace how they run Omni for enterprise-grade vector search capabilities in their local environment, which contains sensitive customer workloads.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

session
by Richard Lavers (New Hampshire Employment Security) , Kierston Howard (Google Cloud) , Mohandas Sundareswaran (State of Georgia - Georgia Department of Human Services)

Discover how government agencies are harnessing the power of artificial intelligence (AI) to streamline public health and labor services. Delve into the practical benefits of using AI to simplify scheduling, access medical records, and receive crucial information, as well as the transformative potential to provide citizens with a secure, personalized, and responsive experience. This session explores how document automation and natural language interactions enhance the claimant journey, leading to improved access and satisfaction. Learn how government agencies leverage AI to deliver efficient, inclusive, and impactful services to their communities.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Google's cutting-edge ML infrastructure leverages millions of TPU and other accelerators deployed around the world. Learn how to efficiently manage this infrastructure with flexible consumption models tailored to your unique needs. We'll cover best practices and demonstrate real-world examples, such as Newo.AI building Digital Employees on Google Cloud and CentML.AI optimizing Goodput for Inference workloads.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Join us for an exploration of how Bayer and Insmed are leveraging Vertex AI and MedLM to revolutionize the healthcare landscape. Discover how these industry leaders are utilizing AI's power to accelerate drug discovery, enhance patient care, and unlock data insights. Leave with a newfound understanding of how Vertex AI and MedLM are transforming the industry and the potential they hold for the future of medicine. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Generative AI is rapidly changing the landscape of the fashion industry, impacting everything from ideation, design, manufacturing, supply chain to branding. This talk demonstrates how we can leverage Google’s multimodal generative AI tools to enhance our creativity throughout the design process: from fashion trend analysis, finding design inspiration, garment style design, fabric print design, render of the final look, to branding and social media engagement. This talk is for anyone interested in the future of fashion with generative AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Looking to bring artificial intelligence (AI) assistance to your development teams to increase their productivity? We’ll take you through the ways you can use Gemini in your code editor to expedite your application delivery. You’ll also learn how you can now customize Gemini with your own private codebase, with AI assistance deeply tailored to your organization’s libraries and coding conventions, and how Gemini can provide insights to help you understand its effects for your teams. We are joined by Capgemini who will share their own experiences of Gemini in coding.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Google Cloud is building the next generation of Observability solutions using Gemini and BigQuery. In this session, we’ll show you how we can remove fragmentation for your logs, metrics, traces, events, billing data sources using Google BigQuery on Google Cloud Operations Suite to perform Observability analytics. Targeted audience includes Developers, DevOps Engineers, SRE, and Cloud Architects.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Paramount+ currently relies on manual processes to create the essential metadata and video summaries used across its platform. These elements are crucial for showcasing content and creating personalized experiences for viewers. Join us as we explore how the Paramount+ team harnessed the power of VertexAI Text Bison to streamline this process. Discover their approach using prompt engineering best practices and the impressive results achieved by automating these key content tasks.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Empower your organization with the future of app development: no-code, AI-powered solutions built using Google AppSheet and Google Cloud AI. Business users will discover the ease of automating processes while IT leaders will learn to empower their teams and accelerate time-to-value through powerful AI integrations. Join us to discover how these innovative tools can transform your organization, enabling everyone to drive remarkable results and collaborate effectively across devices and data sources.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Attend this session for an overview of our storage solutions and how they are optimized for a variety of workloads. We’ll share storage best practices for AI, Google Kubernetes Engine, and VMs, and customer storage and infrastructure cost optimization. You’ll gain insight into new features that deliver more performant and available apps to your business. We’ll also share our storage vision providing you the ability to plan for future application workloads.

-Industry’s first unified cloud storage optimized for AI and analytics workloads; -Intelligent storage powered by AI; -Built for mission-critical, high-availability data protection; -Migrating to cloud storage and Google Cloud at scale at low cost

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

session
by Jade Fabello (AfroRithm Futures Group) , Lonny J Avi Brooks (Afrorithm Futures Group) , Larry Green (Google Cloud) , Dr. Sará King (MindHeart AI)

Cultivating a belonging: Community through Cloud-based AI and Ancestral Intelligence. This session explores how artificial intelligence (AI), infused with emotional intelligence (EQ) and fueled by "ancestral intelligence" (the other AI), archived in the cloud, can create belonging. The cloud's capacity to store memories, emotions, and nostalgia can help us create our own AI legacy for future generations.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Gemini in VSCode and JetBrains integrated development environments can unlock significant improvements in software delivery and security. In this session, you’ll learn how to harness the power of Code Transformations to streamline multiple tasks of the software development lifecycle, such as code optimization or troubleshooting. You’ll also learn how Commerzbank has been leveraging AI to accelerate its software delivery velocity and code quality/security.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Bell, a telecommunications and technology services leader in Canada, is undergoing a comprehensive data modernization initiative. This transformation aims to dismantle organizational data silos, empowering cross-functional collaboration and fostering a culture focused on exceptional customer experience. By strategically leveraging data as a core asset, Bell will accelerate innovation, drive growth, and develop cutting-edge products and services to meet the evolving needs of its customers. This discussion examines Bell's approach to migrate key data platforms, exploring the challenges, strategies, and early outcomes of their modernization journey. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Experience the transformation. Learn how Gemini for Google Cloud uses AI to effortlessly manage Google Cloud. Get help with design, deployment, troubleshooting, and optimization directly within Google Cloud Console. Accelerate complex tasks, boost productivity, and stay focused on core business value. Gemini for Google Cloud offers goal-driven design, guided operations, and tailored optimizations, all with enterprise-grade security and privacy.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Enterprise business processes span across a variety of different systems and platforms. Surfacing relevant business insights to enable informed decisions and drive business outcomes can be a tedious and time-consuming process. Google Cloud Cortex Framework brings generative AI insights from across your business, producing answers that reduce effort, cost and complexity in order to enable competitive differentiation. Learn how the combination of a consolidated and trusted data foundation with gen AI can provide a platform for innovation.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Google Kubernetes Engine (GKE) provides cost efficiency and high performance to run AI inference on Google tensor processing units (TPUs) and NVIDIA graphics processing units. Join us to learn how Anthropic runs its inference workload for Claude on GKE, and how Anthropic achieved better price-perf on TPU v5e on GKE. We’ll also learn how GKE advanced management capabilities simplify Day-2 maintenance, and how Google Cloud Customer Support makes the entire experience a blast.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.