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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IHG Hotels & Resorts, managing 6,500+ hotels across 19 brands, faced data challenges amidst rapid growth. Cognizant & Google Cloud helped modernize their infrastructure. Using Data Fusion & migration tools, 320TB of data moved from Teradata to BigQuery, enabling scalability, security, and advanced analytics. This laid the foundation for IHG's future growth and empowers data-driven decision-making. Please note: seating is limited and on a first-come, first served basis; standing areas are available. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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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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Learn the proven strategies and approaches to creating scalable infrastructure, as code, with HashiCorp Terraform. We'll cover how large organizations find success in structuring projects across teams, architect globally available systems, securely share sensitive information between environments, set up developer-friendly workflows, and more. This session will discuss these topics in-depth and show them in action with a live demo and codebase that deploys many services across multiple teams.

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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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Nicholas Broad is a machine learning engineer and a member of one of the top teams in Kaggle’s competition to evaluate how well large language models can write science exams and measure a student’s skills. He’ll be sharing his first-hand learnings and insights on this rapidly growing problem space.

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Learn how to streamline application development using Infrastructure as Code (IaC) principles. This session explores building data APIs with declarative configurations and deploying them globally for seamless scalability. GraphQL empowers your teams to work independently within their domains, guided by a robust type system. Break down data silos, enable self-service data access across your enterprise, and watch your developers create exceptional user experiences. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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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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