This session will detail the process of architecting enterprise-grade big data pipelines, encompassing the orchestration of Ephemeral Dataproc clusters, customization through custom images and the strategic incorporation of GPU resources. Real-world use cases, best practices, challenges, and future trends in this domain will also be discussed, providing actionable insights for implementing cutting-edge big data solutions.

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Learn about real-time AI-powered insights with BigQuery continuous queries, and how this new feature is poised to revolutionize data engineering by empowering event-driven and AI-driven data pipelines with Vertex AI, Pub/Sub, and Bigtable – all through the familiar language of Cloud SQL. Learn about how UPS was able to use big data on millions of shipped packages to reduce package theft, their work on more efficient claims processing, and why they are looking to BigQuery to accelerate time to insights and smarter business outcomes.

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This session is a deep dive into strategies for maximizing the performance and efficiency of generative AI model training using Vertex AI and Cloud TPUs (Tensor Processing Units) and GPUs. You'll learn how to harness the power of Cloud TPUs and GPUs for accelerated training. Join our experts to learn more about best practices for configuring compute resources, selecting the ideal hardware for your use cases, and streamlining the overall model development process with Ray, Persistent Cluster, and shared reservations.

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Continuous Deployment can be a roadblock in the MLOps lifecycle, often requiring custom pipelines and complex configurations. Solution? The new integrations of Google Cloud Deploy and Vertex AI revolutionizes machine learning (ML) deployment by automating the entire process, and makes it easy to roll back through idempotent releases. The groundbreaking integration of Cloud Deploy and Vertex AI lets you test, validate, and deploy your ML models in minutes, without writing a single line of code.

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Deploying an application can be intimidating, so let's make it fun. The JavaScript ecosystem moves so quickly that it can leave you wondering: Can I deploy [JavaScript framework] to Google Cloud Run? Yes. Let's prove it by deploying as many JavaScript Frameworks as we can, as quickly as possible.

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Join this session to discover how Unity, one of the world's top video game software developer, runs their deployment on Google Kubernetes Engine (GKE) on Google Cloud. In this fireside chat, we will go through this evolution journey together highlighting key milestones and best practices so that you too can run your enterprise deployment on GKE.

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This session demonstrates how to use large language models (LLMs) to translate ideas directly into cloud architecture blueprints. You’ll learn how to generate designs from these blueprints with natural language processing. We’ll also use an existing LLM model specialized in code generation to understand our language dialect to generate cloud architecture diagrams. Finally, we'll also show you a web app on Google Cloud that allows users to interact with the model and use the generated artifacts in practice.

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Ready to unlock the hidden ingredients to Google Cloud certification success? In this session, we'll unveil the secret formula for how to best prepare for Google Cloud Certifications. Validate your skills and knowledge, gain a competitive edge, and open new opportunities, all while developing your professional skills. We will also offer attendees the chance to register their interest in our no-cost 2024 certification readiness programs.

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Generative AI is transforming software engineering. Powered by AI breakthroughs and extensive developer data, we already see impressive results in code generation, automation, and workflow acceleration. The future holds even greater promise: AI-powered code review, design to code, natural language to code, and more. Our focus is on human-centered AI and how an AI-powered software development cycle presents an opportunity to significantly amplify developer productivity by removing friction and toil, creating developer capacity so that developers can spend more time on creative problem solving, which will accelerate software engineer productivity and happiness.

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If you're a business leader looking to get a better understanding of how artificial intelligence (AI) is helping developers become more productive and focused, or a developer interested in using AI to achieve a “flow state” then this talk is for you. Google Developer Advocates Debi Cabrera and Daryl Ducharme will share their tips and tricks for using Gemini to stay focused, and share ways that business leaders can help their developers by providing tools and training to assist with developer productivity.

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Take the next step in your AI/ML journey with streaming data. Learn to deploy and manage complete ML pipelines to run inference and predictions, classify images, run remote inference calls, build a custom model handler, and much more with the latest innovations in Dataflow ML. Learn how Spotify leveraged Dataflow for large-scale generation of ML podcast previews and how they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.

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This session explores tools and techniques to permit machine learning model portability, while empowering your workloads to make use of the most efficient and powerful hardware available on Google Cloud. Attendees will develop an understanding of machine learning (ML) frameworks, packaging mechanisms, and how they work together to take an ML model from development to production.

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X509 certificates and Google Cloud Certificate Authority Service offer powerful authentication solutions for workloads, micro-services, and smart devices. This session will guide you through the latest innovations in certificate provisioning and management for VMs, Kubernetes, and Load Balancers. We'll delve into SPIFFE, mTLS, and service-to-service authentication techniques. Gain real-world insights from Signify (formerly Philips Lighting) and see how they've implemented Google Cloud Certificate Authority Service and the Matter standard within their IoT ecosystem.

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This session discusses how to secure user-to-application communications in a multicloud environment using Google’s Cross-Cloud Network cloud-first integration of Secure Access Service Edge (SASE) solutions. We will discuss how the cloud-first integration of Secure Service Edge (SSE) stacks optimizes the performance, effectiveness, and operations of the stack, and illustrate this with a demo. We will study a customer design for a multi-regional multicloud deployment securing users accessing public and private applications from any location.

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Application development in continuously breaking down silos. From Dev, DevTest, DevOps, DevSecOps, MLOps, Analytics, to… DevAI? Developers are now being thrust into the dynamic arena of real-time analytics and generative AI (GenAI): two forces shaping the next iteration of technology. This session dives deep into this intersection, demonstrating how developers can leverage these revolutionary tools to not only build applications, but craft game-changing business strategies.

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Learn how to create inclusive and innovative solutions. We’ll share five key methods and give an example of how Google has used AI for 15 years to address the needs for people with disabilities.

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When your data outgrows the confines of traditional relational models, Google Cloud's databases offer the solution. This session will explore how to harness the power of distributed architectures and flexible schemas to handle massive datasets. We'll cover real-world use cases where unique databases like Spanner and nonrelational databases, including Bigtable, Firestore, and Memorystore, provide unmatched scalability and performance. In addition, Shopify will discuss how it’s using Bigtable for business critical use cases.

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Ready to supercharge your Java skills with cutting-edge generative AI? Dive into this immersive hands-on workshop and learn how to build and deploy powerful gen AI applications in Cloud Run using gen AI with Vertex and Gemini models. We'll explore fast Java development, leverage the scalability of Cloud Run, and tackle real-world gen AI use cases. Get ready and unleash the power of AI in your next application!

Work with a complete end-to-end sample application, guided at all times by the power of Gemini.

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Ready to unlock the power of your Oracle databases in the cloud? Discover how Google Cloud's flexible Oracle Bare Metal Solution and migration capabilities can help you unlock the full potential of your Oracle databases in the cloud. Join this session to learn how Admiral Insurance modernized their Guidewire-based insurance policy administration system and migrated their mission-critical Oracle databases to Google Cloud - boosting performance, scalability, cost-efficiency, and driving new innovation. Learn how Google Cloud's advanced database services can transform your operations.

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We cover the they key principles of building a modern, cloud-first data platform: - A reference architecture for a simple, flexible, modular lake house - A process to select the right point of contact for the job - How to build and organize your team to continue to grow the platform In this session, we discuss not just what to build, but how to build it, and why the topics we cover are important for success.

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Feeling overwhelmed by multicloud security? Ditch the complexity and attend this fast-paced session for a refreshing perspective. Learn seven powerful multicloud security strategies in this session that touch on the usage of built-in guardrails, security of data across realms, choosing the right tools, automation of security processes, risk and threat assessments, and enabling your cloud team with the right skill set. You’ll leave with some actionable steps that you can take to ensure security of multicloud deployments.

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Yearning for insights from your spreadsheets? The combination of Looker and Google Workspace is your data dream team. In this session you will learn how to automatically generate Google Slides from Looker, how to generate reports from Google Sheets, and bring business intelligence into the flow of work. Leverage AI to find trends and generate summaries in seconds, and build interactive dashboards that respond to your clicks.

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Modernizing high-performance and AI workloads that need to stay on-premises can be challenging. Learn from the experts how to optimize your hybrid cloud by deploying Google Kubernetes Engine (GKE) on Google Distributed Cloud. Deliver a consistent developer experience on-premise and in the cloud, and preserve your return on investments by leveraging your existing HW investments. Discover how to optimize upgrade cycles, streamline operations, and empower your developers with the same cloud-born tools they use with GKE.

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Across the corporate pipeline, women remain underrepresented - especially in tech. As women in this field, we have an opportunity to create safe spaces both within our organizations and externally, to focus on empowering, connecting, developing and retaining women. Join this session to learn how to create a Women’s Network both internally in your organization as well as externally with your customers - and how it can help catapult your career.

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In this presentation, we delve into the cutting-edge realm of large-scale AI training and inference, focusing on the open models and their deployment on Google Cloud Accelerators. Open models such as the Llama family of LLMs and Gemma are state-of-the-art language models that demand robust computational resources and efficient strategies for training and inference at scale. This session aims to provide a comprehensive guide on harnessing the power of PyTorch on Google Cloud Accelerators, specifically designed to meet the high-performance requirements of such models.

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