Ori Goshen, Co-Founder and Co-CEO of AI21 Labs, is a seasoned entrepreneur who previously co-founded Crowdx and developed the first-ever Voice over Internet Protocol and messaging app for iPhone and Android.

Get his unique perspective on the emergence of small, specialized models in the generative AI space and how building a strong partnership with Google Cloud was integral to their trajectory. AI21 Labs continues to innovate by building reliable, practical, and scalable AI systems for enterprises to accelerate the use of AI in production.

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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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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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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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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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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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Text-to-image generative AI models such as the Stable Diffusion family of models are rapidly growing in popularity. In this session, we explain how to optimize every layer of your serving architecture – including TPU accelerators, orchestration, model server, and ML framework – to gain significant improvements in performance and cost effectiveness. We introduce many new innovations in Google Kubernetes Engine that improve the cost effectiveness of AI inference, and we provide a deep dive into MaxDiffusion, a brand new library for deploying scalable stable diffusion workloads on TPUs.

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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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Get a behind-the-scenes look at the bold initiatives transforming higher education at both Adtalem and Purdue University Global. Steven Tom, SVP & Chief Customer Officer at Adtalem will share the evolution from their first Gen AI learning tutor “Julian” to the AI initiatives happening today. Tim Werth, CIO of Purdue University Global, will share how they built an AI based learning assistant for students. Join us to see what the next generation of classrooms may look and feel like! Please note: seating is limited and on a first-come, first served basis; standing areas are available

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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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Kevin A. “KAM” McGrail KAM will start with a foundation on what Artificial Intelligence is, its impact on the CIA security model, & a quick history lesson about AI-Enabled cyberattacks. He will then discuss other problems including discussing AI policy & the new Shadow IT threat AI tools present. Finally, Kevin will discuss a few key solutions including using his signature, "Think Evil" process for cybersecurity. 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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From restaurants to help desks, near real-time AI is ready to interact with customers. But are businesses ready for it? Discover how you can use Google Cloud Anthos to deploy, execute and manage AI workloads from the cloud to the edge in this practical and informative session. 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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Cloud technology in a world of developing AI and ML is providing unparalleled opportunity for innovation, efficiency and growth. Unfortunately, the tech industry still grapples with a significant gender gap. Women continue to be underrepresented at all levels across the tech industry. In this session, we will hear from women technologists who are leveraging cloud technology to create a more inclusive and diverse tech ecosystem.

Google’s Women Techmakers program provides community, visibility and resources for women in technology.

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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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Discover how government agencies are leveraging Google Workspace and AI to empower collaboration, boost efficiency, and drive transformative change. Explore innovative use cases where AI improves information access with enterprise search solutions and supports website development. Learn how these tools allow teams to seamlessly work, breaking down language barriers and fostering connections – regardless of location.

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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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