Leveraging the remarkable performance and ample memory capacity of the Google Cloud's TPU v5p and AI Hypercomputer, Lightricks successfully trained our generative text-to-video model without splitting it into separate processes. This optimal hardware utilization significantly accelerates each training cycle, allowing us to swiftly conduct a series of experiments using a TPU v5p - 128 pod. The ability to train our model quickly in each experiment facilitates rapid iteration, which is an invaluable advantage for our research team in this competitive field of generative AI.

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Firewalls are essential for any network security architecture. As organizations embrace the cloud, they seek cloud-first firewall solutions that seamlessly adapt to their evolving workload protection requirements. This session explores how you can reach this goal with Google Cloud's next generation firewall (NGFW). Learn how to secure all network paths with advanced threat prevention, coupled with flexible and granular control to ensure a strong security posture in Google Cloud. Plus, you'll gain insights from shared customer experiences in safeguarding workloads with Cloud NGFW.

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Sophisticated fraud is a growing problem: Learn how Google Cloud can help. We’ll show how using reCAPTCHA Enterprise and Web Risk, sites of all sizes can protect themselves against credential theft, financial fraud, phishing and scams. Reddit's Safety team will share how it successfully applied these tools to make Reddit a safer environment for users.

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The key to maintaining a strong cloud security posture is to build from the start on a robust foundation of baseline security controls. Google Cloud’s Security Foundation provides recommended controls to common cloud adoption use cases, including infrastructure modernization, AI workloads, data analytics, and application modernization. In this session, you’ll learn how to start secure and stay secure in the cloud using the Security Foundation.

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Learn how you can quickly and easily build applications in environments with predefined controls and guardrails to meet global regulatory compliance requirements. In this session, you’ll hear what's new in Assured Workloads and all the latest capabilities that will help you to easily achieve your data residency and compliance goals.

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Experience the transformative power of real-time interactions with your dashboards through natural language. Say goodbye to waiting for analysts to provide graphics and conclusions. Witness the immediacy of getting your questions answered accurately and precisely, grounded in your data warehouse. Join us for an immersive exploration of data-driven decision-making, complete with a live demo showcasing a practical business scenario. 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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In this session, we'll "break the ice" on the debate between Google BigQuery vs Snowflake for cloud data warehousing. From performance to scalability, we'll explore the key considerations to help you make the right choice for your data needs. Whether you're a Google Cloud customer or partner, this session will arm you with actionable insights to navigate the cloud data landscape confidently. 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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Disaster Ready with Google Cloud: Hawaii's story of rapid AI deployment for community support. Imagine facing a disaster and needing immediate assistance. How can you ensure communities receive the support they need quickly and efficiently? Join us as we explore how Hawaii's Department of Human Services leveraged Google's Contact Center AI platform to seamlessly scale up during emergencies. You'll also learn how the Hawaii Department of Labor and Industrial Relations stood up a fully functional call center within 24 hours in response to the Maui wildfires. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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In this game you will create and manage permissions for Google Cloud resources, run structured queries on BigQuery and Cloud SQL, create several VPC networks and VM instances and test connectivity across networks, and monitor a Google Compute Engine VM instance with Cloud Monitoring.

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Join us on Uber's journey to revolutionizing its data platform through Google Cloud. Discover how this migration has enhanced reliability, scalability, and analytics capabilities, showcasing the transformative power of Google Cloud in the ride-sharing industry. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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In this session, Slalom and Bayer AG will discuss how Bayer AG leverages GKE Enterprise, to build an internal developer platform, integrating Anthos features like Config Sync and Service Mesh. You’ll hear how the implementation, automated through Cloud Build and Terraform, empowered Bayer AG to establish robust security and DevOps practices to support its data engineering teams. 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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In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

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In this mini course you will learn how to optimize performance and cost in BigQuery. You will learn how to optimize your queries and lower cost by optimizing your storage using partitioning and clustering. You will explore these techniques in a hands-on lab environment by exploring data inspired by a real customer use case.

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Unlock powerful cloud solutions through the Intel and Google Cloud partnership. Discover the latest Xeon-based instances and services, alongside Intel's optimization tools, designed to empower you to manage and optimize your infrastructure with unmatched efficiency and performance. 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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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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In this session, you'll learn how the platform team can provide a multi-tenant traffic-management infrastructure to optimize performance, route efficiently to reduce costs, and simplify operations. We'll demonstrate how multi-cluster service and multi-cluster Gateway can be used to abstract the cloud infrastructure and how Google Kubernetes Engine (GKE) Enterprise can empower the platform team managing fleets of GKE clusters and teams consuming those clusters.

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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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Dive into GitLab Duo's integration with Google Cloud to enhance your DevSecOps strategy. We'll demonstrate how GitLab Duo leverages Vertex AI for smarter, faster app development and deployment. This session offers direct insights into improving app security and efficiency in your cloud projects, showcasing GitLab Duo’s unique capabilities within the Google Cloud ecosystem. Perfect for developers and IT professionals seeking practical, scalable solutions for their software delivery challenges.

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