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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Generative AI offers the opportunity to transform the manufacturing and automotive industries. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency. The session will also feature customer success stories and a discussion with organizations at the forefront of generative AI use.

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Learn to connect large language models (LLMs) to real-world data and external knowledge sources with LangChain's open-source capabilities integrated with Vertex AI. Explore use cases such as natural language queries for interacting with Cloud SQL databases, complex workflow automation using Gemini function calling, interactive data-mapping and analysis, and enhanced chatbots using real-time data and tool integrations. Harness LangChain's flexibility with Gemini in Vertex AI's reasoning engine to unlock the true potential of generative AI and push boundaries.

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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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Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges. Join experts from Google Cloud and Two Sigma for an exploration of Vertex AI's text and multimodal embedding capabilities. These models drive innovation across different industries and use cases.

Two Sigma and Google Cloud draw on previous work to review their derivation of a framework for objectively evaluating embedding models, then the application of this framework against a textual similarity task using the Massive Text Embedding Benchmark (MTEB).

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

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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 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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The application of generative AI is revolutionizing conversational customer engagements across multiple touchpoints. In this session, learn about the innovative work at UberEats, showcasing how gen AI can enhance end-user experiences and drive personalization. The session will cover utilization of large language models to reimagine food ordering and addressing conversational shopping challenges in real time using search grounding, fine-tuning, and distillation.

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The emergence of foundation models and generative AI has introduced a new era for building AI systems. Selecting the right model from a range of architectures and sizes, curating data, engineering optimal prompts, tuning models for specific tasks, grounding model outputs in real-world data, optimizing hardware – these are just a few of the novel challenges that large models introduce. Delve into the fundamental tenets of MLOps, the necessary adaptations required for generative AI, and capabilities within Vertex AI to support this new workflow.

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Accessing mission-critical data in a nonintrusive fashion will be critical for enabling operational analytics, and with the evolution of generative AI, enterprises are building RAG-based gen AI applications that require access to operational data. Datastream is a simple, serverless data-streaming platform that organizes the ingesting, processing, and analyzing operational data to support AI/ML and RAG apps. Experts from RocketMoney and Intuit Mailchimp will share how they’re using Datastream to solve for Operational Analytics and beyond.

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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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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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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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Want to get your everyday jobs done faster with expert-level help from Google Cloud’s latest generative AI assistant? Check out three things that you can try today to improve your productivity and up-level your operational game with Gemini in the Cloud Console at this session. We’ll cover advanced IT topics that can be made easier with Gemini in the console, and go beyond simple Q&A to build advanced, multiturn conversations that help enterprise-level IT admins augment their own expertise with Gemini.

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Document understanding drives business process automation across industries and is a key use case for leveraging generative AI in enterprise. Vertex AI provides a complete portfolio of products and building blocks for fast, cost-effective document processing. Join this session to learn how Vertex AI’s platform offerings work alongside Vertex AI Search and Document AI to support end-to-end document processing scenarios. Learn from SAP and Zebra Technologies on how they are leveraging Vertex AI to solve key business challenges.

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Unleash learning's revolution with generative AI! This session equips you to upskill curriculums and reskill teams. We'll explore generative AI's potential, best practices for integration, and tools to track progress and measure impact. Identify skill gaps, develop reskilling plans, and empower developers with new skills. Leave ready to transform your programs.

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Getting insights from your business data should be as easy as asking Google. That is the mission for Looker – instant and insightful, able to alert you when it really matters and to guide you to impactful decisions faster than ever, powered by the most important information: yours. Join this session to learn about how AI is reshaping our relationship with data, and how Looker is leading the way.

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Explore the capabilities of RoostGPT in our upcoming session, an innovative testing platform at the forefront of generative AI and Large Language Models (LLMs). RoostGPT is engineered to redefine test case generation, enabling the creation of detailed and accurate test suites without the need for manual effort. It facilitates the automated generation of Unit, API, Integration, and Functional tests, significantly increasing productivity and expanding test coverage. 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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Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth. During this insightful session, Avery Dennison, TCS, and Google Cloud will examine this innovative business transformation, utilizing an enterprise collaboration platform that automates business processes, builds reliability services, and focuses on self-service capabilities.

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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Have you ever wondered what it takes to build a unique multicustomer generative AI experience? How would you secure it? Scale it? Where would you start? This is the story of how our ambitious two-pizza team built an interactive custom LLM-powered chatbot in only two weeks. We'll cover what we learned, what we'd do differently, and what’s changed.

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Document use cases are a primary focus for generative AI implementations. Join us for a discussion on how Vertex AI is helping revolutionize the way customers process and gain insights from their documents. Commerzbank and Equifax will be our guests and will discuss how they’ve implemented document solutions using Vertex AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available.

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Learn from a panel of leading security companies about why they build customer SaaS on Google Cloud, and how they’re partnering with Google to use generative AI to drive transformational change in the industry.

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Join an insightful session dedicated to empowering companies in their pursuit of end-to-end generative AI success on Google Cloud. This discussion will guide organizations through their data and AI journey, highlighting proven strategies and pitfalls to avoid. Through customer stories, participants will gain valuable insights into real-world challenges and triumphs, offering a roadmap to seamlessly move from one stage of the AI journey to the next. Accelerate your generative AI maturity and unlock the full potential of your data, gen AI, and Google Cloud. 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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