Training large AI models at scale requires high-performance and purpose-built infrastructure. This session will guide you through the key considerations for choosing tensor processing units (TPUs) and graphics processing unit (GPUs) for your training needs. Explore the strengths of each accelerator for various workloads, like large language models and generative AI models. Discover best practices for training and optimizing your training workflow on Google Cloud using TPUs and GPUs. Understand the performance and cost implications, along with cost-optimization strategies at scale.

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Generative AI has the potential to transform the way we live, work, bank, and invest. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency in banking. The session will also feature customer success stories and a discussion with banking executives at the forefront of using generative AI.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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In this session, you’ll learn how to deploy a fully-functional Retrieval-Augmented Generation (RAG) application to Google Cloud using open-source tools and models from Ray, HuggingFace, and LangChain. You’ll learn how to augment it with your own data using Ray on Google Kubernetes Engine (GKE) and Cloud SQL’s pgvector extension, deploy any model from HuggingFace to GKE, and rapidly develop your LangChain application on Cloud Run. After the session, you’ll be able to deploy your own RAG application and customize it to your needs.

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Learn how platform engineering can provide multi-tenant traffic management to optimize performance, route efficiently to reduce costs, and simplify network operations. We‘ll demonstrate how multi-cluster services and multi-cluster gateways can be used to abstract the infrastructure for developers.

Learn from Shopify how they built their large-scale Kubernetes network to support 61 million shoppers and $9.3B in sales during Black Friday.

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Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

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Learn how to get the most out of your CI/CD tools through new features. Find out the latest product updates to create secure and reliable application repositories, builds, and deployments.

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AlloyDB is a fully PostgreSQL-compatible database, ready for top-tier workloads, and for modernizing legacy proprietary databases in the Cloud. Powered by Google-embedded storage for superior performance with full PostgreSQL compatibility, AlloyDB offers the best of the cloud with scale-out architecture, a 99.99% no-nonsense-availability SLA, intelligent caching, and ML-enabled adaptive systems that simplify database management. In this session, we’ll cover what’s new in AlloyDB, plus deep-dive into the technology that powers it.

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It’s more important than ever for organizations to create a culture of learning where employees are encouraged to continually learn and grow. This can lead to numerous benefits for the organization, like increased innovation, improved employee satisfaction, and reduced turnover. Erin Rifkin, Managing Director of Cloud Learning Services, will share an overview of our learning principles. She’ll also share specific examples of both formal and informal learning opportunities, and those which have leveraged generative AI.

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Tune in to learn how you can fight piracy during live events by blocking pirated streams in real time with Service Extensions and Media CDN. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Artificial intelligence (AI) is revolutionizing the way we approach security operations – allowing defenders to elevate their skills and boost productivity by accelerating threat detection, investigation, and response. AI isn’t a future concept: It’s here and available, with early user feedback showing that AI can reduce the time required for common analyst tasks such as triaging complex cases by 7x. In this session, we’ll dive into the real-world applications of AI in Security Operations with hands-on demonstrations and case studies.

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Just as food delivery has evolved and become ubiquitous, the Software Delivery Lifecycle has also made leaps and bounds. We get there by shifting left and taking a platform centric approach. In this session join us as we discuss modern software delivery, ways that Datadog has implemented SDLC internally and enable our user’s production of high-quality software with higher velocity.

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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Discover the power of gen AI in boosting developer productivity and innovation. Through in-depth demos, we'll showcase how to use gen AI to enhance developer productivity across the software development lifecycle. You’ll also learn how to easily build production-grade gen AI applications using Google Cloud technologies and your favorite ecosystem tooling. We’ll share the latest releases and features across many of your familiar developer products such as Gemini Code Assist, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

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Join us for an insightful session that explores the exciting future of Google Cloud‘s managed databases, including Cloud SQL, AlloyDB, and Spanner. Vector search capabilities deeply integrated into operational databases enable powerful enterprise generative AI apps. Additionally, learn how AI has the potential to revolutionize the way applications interact with databases. We will delve into exciting frontiers: Natural language processing in databases, and app migration with large language model-powered code migration.

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Discover the game-changing potential of Generative AI, utilizing Google's Vertex AI Model Garden and Large Language Models (LLMs) to revolutionize content search and discovery. Reports show 61% of consumers are now prioritizing TV sources based on the ease of content discovery, with preference towards a more streamlined experience. This demo will show how integration with Generative AI models can power conversational search that expedites results for viewers while also amassing information that makes it increasingly knowledgeable and accurate. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Deploying AI models at scale demands high-performance inference capabilities. Google Cloud offers a range of cloud tensor processing units (TPUs) and NVIDIA-powered graphics processing unit (GPU) VMs. This session will guide you through the key considerations for choosing TPUs and GPUs for your inference needs. Explore the strengths of each accelerator for various workloads like large language models and generative AI models. Discover how to deploy and optimize your inference pipeline on Google Cloud using TPUs or GPUs. Understand the cost implications and explore cost-optimization strategies.

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Harnessing AI's power or falling behind? Join this critical panel as industry leaders dissect generative AI, the game-changer reshaping your reality. Learn how to personalize experiences, unlock efficiencies, and unleash new revenue streams. Craft your winning AI strategy and secure your future in the age of intelligent creation.

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Join AI startup founders from around the world as they share their perspective on the startup landscape.

In this must-attend session for startup leaders, join Rodrigo Bobrow, Founder of Meistrari, Arun Subramaniyan, Founder & CEO of Articul8 AI, Anjan Umamaheswaran Bhojarajan, Chief Business Officer at HealthifyMe, and Timur Momedov, Co-Founder and CTO of VEED as they discuss macro trends and the biggest startup opportunities and challenges they see in 2024. They’ll share how AI continues to disrupt the startup landscape and how leaders should be thinking about their cloud investments over the next year.

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The excitement of generative AI has captured the imagination of developers around the world. To achieve value, customers have to confront the hard reality of what it takes to put models into production. Vertex AI provides capabilities specific to gen AI, including prompt management, tuning, evaluation, and model monitoring to help customers to put gen AI use cases into production. Learn how these capabilities can help accelerate your ability to get the most out of gen AI and how customers have used them successfully for a return on investment.

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