The democratization of AI has accelerated the development and deployment of powerful machine learning models. While this trend offers immense potential, it also raises critical concerns about security, privacy, and responsible AI governance. Join this session to learn how enterprises are using the Vertex AI platform to safely enable their organizations to build, customize, and use AI at scale.

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How generative AI and geospatial data is being applied by the world's leading organizations to help prepare for the new regulation changes. With enhanced supply chain transparency, we are using AI to make complex geospatial data understood by consumers so they can make more informed decisions on the environmental impact of their purchases. Learn how Earth Engine can be leveraged for businesses that need to verify claims of zero deforestation across their global supply chain.

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In today's volatile landscape, the pressure is on. Organizations need leaders who can steer through uncertainty, move fast, and foster a culture of continuous innovation. Join former Chief of Staff of the U.S. Air Force, General David Goldfein, to delve into the strategies for leading high-performing teams amidst constant change. The General will offer battlefield-tested insights into leading transformations, making high-stakes decisions, managing risk, and inspiring organizations to embrace new technologies. This session promises actionable advice for leaders seeking to build adaptable, future-ready organizations, allocate resources, and make consequential decisions.

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Snap is a leading social media company and one of the largest Google Cloud customers. Bigtable has been used at Snap for ads and monetization for several years. In 2023, Snap increased its Bigtable usage significantly by expanding to other major use cases. In this session, Snap's database team and Google’s Bigtable team will discuss how Snap uses Bigtable, and share the new Bigtable features and performance improvements that convinced Snap to double down on Bigtable.

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This session explores the integration of Rust and Python within Google Apps Script by leveraging WebAssembly. Developers can enhance the robustness and capabilities of their applications by combining the strengths of Rust's performance and Python's versatility. The presentation will delve into the integration process, showcasing practical examples of how this approach can be employed to create powerful solutions within the Apps Script environment.

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Generative AI can transform customer service, enhance employee productivity, automate business processes, and more. And by using Serverless, Google Cloud's “pay-as-you-go” compute platform to provide these experiences, you can focus on what's core to your business and leave the autoscaling to Google. In this talk, you'll learn how to run Google Cloud generative AI tools on Serverless, including how to use the Vertex AI Gemini API, how to use function calling to supplement a gen AI model with Serverless endpoints, and more.

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Learn how to use Google Cloud Networking to protect your website from DDoS attacks. We'll cover a survey of easy-to-configure products, such as Cloud Armor, Load Balancing, and Cloud CDN, and demonstrate how to protect content anywhere on the web within just a few minutes! These services can help keep your content consistently online in the face of targeted attacks, and also during legitimate traffic surges. We'll also talk about Project Shield, which provides free protection to news, human rights, and elections organizations.

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In this session, we’ll describe how public and private sector organizations meet increasing demand for digital sovereignty requirements in the cloud, applying controls like data residency, encryption key management, and personnel restrictions.

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Join a groundbreaking panel of women leaders in data science and engineering as they unveil actionable strategies for building trustworthy and responsible AI. Dive into the power of diverse data, unmask hidden biases, and discover how these changemakers are shaping a future where technology serves all.

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Prioritizing a culture of learning became Ford's recipe for cloud success. Partnering with Google Cloud, Ford trained over 16,000 employees, accelerating deployments, slashing technical debt, and unlocking AI's potential for a software-first future. Learn how Ford built an "army of problem solvers" and democratized data to drive innovation in the age of AI.

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Learn from Deutsche Bank's exemplary global cloud certification program, which has significantly enhanced their workforce's cloud expertise. This session showcases their hybrid approach to learning, combining instructor-led training with on-demand resources from Google Cloud Skills Boost. Discover the impact of this initiative, straight from Deutsche Bank's technology leadership. 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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It can be challenging to know where and how to start building with Generative AI. Join this introductory workshop to learn about the tools and techniques needs to get started building with foundation models. We show you how to experiment with Gemini in the Cloud console and evaluate the performance of Gemini for your specific use case.

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Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models. In this spotlight lab, you will learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to interact with the Gemini Pro (gemini-pro) model and the Gemini Pro Vision (gemini-pro-vision) model.

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When choosing a cloud provider to host its gaming infrastructure, EA SPORTS™ was searching for highly reliable networking performance as well as robust DDoS protection solution. EA decided to migrate its gaming servers infrastructure from another Cloud provider to GCP and selected new Google Cloud Armor protection dedicated for VMs with public IPs, including support for GKE workloads, to protect its gaming servers and enhance its DDoS resiliency. Electronic Arts (EA) is a global leader in digital interactive entertainment. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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At Google I/O last year, we announced several new AI Firebase Extensions using the PaLM API. This year, we’ve added support for Google's latest Gemini models. Easily add a chatbot, text summarizer, content generator, vector database pipeline, and more to your app without learning new APIs. In this session, get an end-to-end view of how you can use Firebase and Gemini to create an enterprise-ready customer support app. Build many apps with the powerful combo of Gemini's multimodal features and Firebase's convenient suite of developer tools.

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As machine learning (ML) systems continue to evolve, the ability to scale complex ML workloads becomes crucial. Scalability can be considered along two dimensions: expansive training of large language models (LLMs) and intricate distribution of reinforcement learning (RL) systems. Each has its own set of challenges, from computational demands of LLMs to complex synchronization in distributed RL.

This session explores the integration of Ray, Google Kubernetes Engine (GKE) and ML accelerators like tensor processing units (TPUs) as a powerful combination to develop advanced ML systems at scale. We discuss Ray and its scalable APIs, its mature integration with GKE and ML accelerators, and demonstrate how it has been used for LLMs and re-implementing the powerful RL algorithm, Muzero.

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This session features panel discussion with Snap Inc., and its journey from being born on Google App Engine to how they’ve been able to grow and serve 400M+ DAU powered by Google Kubernetes Engine. Learn about the business decisions behind this evolution, as we dive into the strategic approach delivered by Snap’s leadership throughout the company’s history as a digital-born customer.

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A day in the life of a Google Cloud developer typically involves the use of multiple Google Cloud products and services. These products enable the developer to develop, test, deploy, and manage applications in the cloud. With assistance from Gemini, a developer can become more productive when using Google Cloud's products by using Gemini's interactive chat, code assistance, and embedded integrations. In this spotlight lab you will explore Gemini in an hands-on lab environment to see the different ways in which Gemini can be used in your development workflows.

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After this session, customers will be able to: Quickly and easily train and fine-tune production AI models. Use their data and own their model. Train in the cloud or on-premises, pain-free.

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Gemini is a contextual, real-time assistant baked right into Workspace — that lets you become a better writer, visual designer, data analyst, and project manager. In this session, discover how Gemini for Google Workspace empowers your teams to build more creative campaigns, maximize follow-through with prospects, and accelerate business opportunities. See real-world use cases showcasing how Gemini automates tasks, boosts efficiency, and frees time to focus on higher value work – driving greater impact, revenue, and ROI.

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Join Google Cloud CEO Thomas Kurian and VP of Global Partner Ecosystem and Channels Kevin Ichhpurani for an insightful fireside chat on accelerating growth with the Google Cloud partner ecosystem. Discover game-changing customer success stories during our customer panel, and hear Colleen Kapase, Google Cloud VP of Channels and Partner Programs, reveal exciting new partner programs and announcements that will empower you to reach new heights.

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Simplify and automate Application Programming Interface (API) development and integration with Gemini. Design and build APIs faster, connect any application, and reduce errors with AI-powered insights.

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Harnessing trends like Gen AI can unlock new opportunities, but many organizations are unable to activate their data due to fragmented data systems for analytics, AI, and ML which do not work together and slow innovation. Your data needs AI, and your AI needs data; requiring organizations to fine-tune models and ensure they are grounded in business reality using their own enterprise data. Join this session to learn and discuss the latest data and AI trends and gain practical approaches to ensure your data platform is AI-ready.

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Join experts from Box, Typeface, Glean, CitiBank, and Securiti AI for actionable tips to effectively implement AI-powered apps across your enterprise. We'll discuss real use cases, implementation best practices, and how to measure returns on investment — whether that's in marketing, financial services, HR, or beyond.

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Generative AI offers the opportunity to transform the healthcare and life sciences industries. It can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market. This session will feature specific use cases, customer success stories and a discussion with healthcare and life science organizations using generative AI to solve some of the industry’s most pressing issues.

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