In an industry that has been hit by change over the last two decades, media companies were forced to do two things: adapt or die. In this session, you will learn how US News and World Report, founded as a media company in 1933, chose to put their customers first and implemented Vertex AI Search. After launching the feature for only a few weeks, US News saw a double digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages. Join us to learn how US News pulled it off with Google Cloud!

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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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In this session, Fortinet and Google Cloud will jointly present on how Fortinet's AI-powered security solution integrated with Google Cloud's native security services can help organizations make better informed decisions, rapidly respond to threats, and save time on even the most complex tasks. 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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WPP provides a radically new framework to think about AI and how it can be used to address any friction across any supply-chain in any industry. A bold claim! They use marketing, media and communications - problems we're all familiar with - as an example. Lifting the hood on the plethora of algorithmic problems that need be orchestrated to solve this mind-boggling complex problem. Daniel showcases how this new framework to think about AI can help organizations choose the right AI's to solve, build and scale differentiated solutions. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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The reality is no one LLM will always be completely safe. The good news is that hallucinations can tell you where your AI lifecycle needs more attention. Learn how you can modernize your Google AI infrastructure to preemptively avoid some of the common weak spots and how you can build an AI stack that will give you the agility to fix problems as they occur. 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, Gemini leads will cover the tips, tricks, insights and lessons learned from helping over 30-plus teams at Google Cloud build world-class developer productivity tools using generative AI. Session highlights include: the "secret sauce" behind GenAI Chat for both IDE and Cloud Console experiences; hidden “gotchas” behind code completion and generation experiences for over 21 languages; how developer teams have to change their processes when adding nondeterministic technology to their stack, and much more.

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If left unmanaged, failures and infrastructure inefficiencies can account for as much as 45% of your compute resources and precious engineering time (according to a Stanford University study). In this session, we discuss how to measure and maximize machine learning (ML) productivity for large-scale training jobs, spanning tens of thousands of accelerators. We’ll demonstrate a canonical view of large-scale training infrastructure and patterns our customers are applying that are available to you today.

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Join this demo-driven session to transform your development workflow with Gemini, your AI-powered collaborator. We'll start with a blank canvas and build, test, and deploy an application, leveraging Gemini's assistance at every stage. Explore how Gemini not only enhances your coding efficiency but also helps you understand and improve existing codebases. By the end, you'll discover a range of ways Gemini can supercharge your application development journey.

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BigQuery allows you to generate multimodal embeddings and perform vector searches directly on your data without complex preprocessing steps. Simplify the process of finding relevant data, identifying patterns and trends, and clustering similar objects together.

Learn how to generate embeddings using familiar BigQuery SQL syntax with multimodal inputs (text, images, audio). We’ll then review how to use BigQuery’s vector search capabilities to explore data in new and innovative ways, leading to faster decision-making and improved insights.

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Learn how to talk to your data, and unlock insights with greater ease with Gen AI-powered Search and Conversation. See how Workday is putting natural language to work using Vertex AI to make it more accessible to extract insights for technical and non-technical users. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join this session to discover how you can deliver software, faster with GitLab Duo. You will learn more about: - How the power of AI will drive enhancements across your entire software development lifecycle and - The next generation of GitLab Duo 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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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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Discover how approachable and versatile building custom generative AI solutions for Google Workspace can be with Google Apps Script. In this session, we‘ll explore how developers are creating innovative integrations between Gemini‘s powerful large language models and Google Workspace. Get real-world examples of how AI can enhance Google Workspace functionality, and learn about the potential of custom solutions to address unique needs. Get ready to be inspired – the evolution of leveraging AI within Google Workspace is just beginning.

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Legacy third-party cookie-based approaches are crumbling, leaving advertisers scrambling for a future-proof solution. But fear not: This session explores the potential of Google Cloud's Confidential Space, a cutting-edge technology that unlocks privacy-preserving adtech solutions, supports Privacy Sandbox and paves the way for a thriving advertising ecosystem. You’ll learn tons of real-world examples from leading adtech companies.

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Web3 is garnering ever more attention by having a disruptive impact on games around the world. This past year, we’ve seen web3 ecosystems like Sequence, Polygon, Solana, and Aptos build and incubate their own game studios, while others have been partnering with game studios - from indie to AAA - to integrate web3 primitives into games and set the stage for a new generation of titles to delight players. This panel will explore what’s new, and what’s not so new about games as they relate to web3, and how companies leveraging this technology attract new players, create novel experiences, and unlock rewarding monetization models.

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This session will take a technical look across Google Cloud's operational databases portfolio and a deeper dive into the key patterns and scenarios mapping to each database. We’ll provide you with prescriptive guidance on choosing databases for workload migrations and what selection criteria to factor in to your decision making.

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This session explores how agencies are using Google Cloud to unlock critical data insights. These insights streamline operations and improve mission outcomes. You'll learn how these agencies are planning the responsible adoption of AI to further accelerate these gains. Discover how Google Cloud empowers agencies to better serve their communities, respond with faster services, and ultimately fulfill their missions with ever-increasing impact.

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Discover how Mercado Libre and Grupo Boticario utilize gen AI to transform their respective industries, enhancing product and content discovery. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Artificial Intelligence is becoming a critical part of your organization's strategy. Businesses are waking up to the opportunities that AI can bring, as well as the massive task of taking advantage of them. Learn how AI and ML could become a part of your business and how Publicis Sapient and Google Cloud can help you harness the power of AI. 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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Elevate developer productivity in our SRE-focused session, leveraging Gemini and GCP's native observability. Explore a GKE-deployed e-commerce demo, unveiling Gemini's prowess in assessment, troubleshooting, and suggesting improvements with native APIs.

Enhance team efficiency, saving time from the cloud console and within IDEs. Join us for a transformative experience.

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As the sprawling web of applications continues to expand, platform engineers today are grappling with ever-increasing security, reliability, and productivity challenges. Join our experts in this session to learn how AI-assisted automation can help platform engineers standardize API creation, automate spec generation and reviews, ensure comprehensive visibility across all enterprise APIs, enforce consistent security standards, and unlock new revenue streams.

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As generative AI applications mature, retrieval-augmented generation (RAG) has become popular for improving large language model-based apps. We expect teams to move beyond basic RAG to autonomous agents and generative loops. We'll set up a Weaviate vector database on Google Kubernetes Engine (GKE) and Gemini to showcase generative feedback loops.

After this session, a Google Cloud GKE user should be able to: - Deploy Weaviate open source on GKE - Set up a pipeline to ingest data from the Cloud Storage bucket - Query, RAG, and enhance the responses

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You’re the master of this session – you choose the language, the database type, and the deployment platform. Thanks to Gemini, we’ll deliver a working application from scratch to Google Cloud. Plus, we’ll cover all the development steps: build, test, and deploy and you’ll discover how fast Gemini helps any developer or practitioner in a matter of a single breakout session. Come to learn how Workstation and Gemini can enhance your workforce for better and safer developments.

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Experience the transformation. Learn how Gemini for Google Cloud uses AI to effortlessly manage Google Cloud. Get help with design, deployment, troubleshooting, and optimization directly within Google Cloud Console. Accelerate complex tasks, boost productivity, and stay focused on core business value. Gemini for Google Cloud offers goal-driven design, guided operations, and tailored optimizations, all with enterprise-grade security and privacy.

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Developing GenAI applications quickly can represent a daunting challenge for today's businesses. But no longer. In this session, we'll demonstrate how Deloitte's AI Studio enables rapid development of compelling GenAI applications in no-code, low-code and pro-code environments, while working seamlessly with Google Cloud native tools. We'll explore the platform's suite of pre-configured capabilities and accelerators, and highlight use cases. 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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