This interactive Q&A session provides a unique opportunity to engage with the minds behind GenAI innovations in marketing and website modernization. Directly converse with the creators and client teams who are using these solutions to drive significant business outcomes, offering insights into practical applications and success stories. 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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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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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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Get a behind-the-scenes look at Walmart's data and AI platform. We'll dissect their use of BigQuery, Spark, and large language models to run complex multi-modal data pipelines. We will deep dive into the choices with various engines (SQL, pySPARK) and technologies along with the corresponding tradeoffs. Gain exclusive insights to implement into your own projects.

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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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David Austin is a data scientist and a member of one of the top teams in Kaggle’s competition to detect AI-generated text. He’ll be sharing his first-hand learnings and insights on this rapidly growing problem space.

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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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In this game you will learn to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end, learn to use BigQuery to find data, build a time series model to forecast demand of multiple products using BigQuery ML, and create a basic report in Google Data Studio.

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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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Experience the future of travel with Alaska Airlines and Google Cloud Consulting. This session showcases the development of a personalized travel search experience using advanced AI techniques. Learn about the creation of hyper-personalized recommendations that engage customers early and foster loyalty through innovative, AI-generated content. 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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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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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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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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Reduce IT overhead and drive innovation with Database Service for Google Distributed Cloud Hosted. Focus on strategic application development by automating time-consuming tasks. Leverage PostgreSQL, Oracle, and the cutting-edge performance and AI capabilities of AlloyDB Omni for a competitive edge.

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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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