Tired of the endless cycle of data platform migrations? Discover a nuanced approach that prioritizes vendor independence and future-proofs your data initiatives. Learn how seemingly well-justified migrations, driven by platform limitations and promises of the 'next big thing', often fail to deliver lasting value. We'll present strategies to minimize vendor lock-in, ensuring your data analytics strategy remains adaptable and sustainable. 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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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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When building an application in the cloud one must be mindful of all the integrations, governance, security, and manageability aspects. In this session, Devoteam experts will share how they support Google Cloud customers by designing and implementing a self-improving and self-healing architecture using an event-driven observability solution that provides well-governed self-service for developers. Telemetries are collected from multiple sources, such as hybrid cloud and on-premise applications.

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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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Get a sneak peek at Mandiant's new "Incident Response in Google Cloud" course. This hands-on lab simulates a realistic attack where a compromised GKE node leads to data exfiltration. Participants will learn essential tactics by analyzing logs and investigating the attack within a live GCP environment. This course offers invaluable experience in detecting, responding to, and strengthening your cloud-native incident response skills against sophisticated threats.

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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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OpenTelemetry is causing a groundswell of change in the observability space. Learn about OpenTelemetry as the new telemetry standard, how we leverage it on Google Cloud and beyond, and how to get started ingesting telemetry data from anywhere.

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Own your professional narrative, stand out from the crowd, unlock new opportunities, and take your cloud career to the next level with Google Cloud Credentials! Learn how to turn your Google Cloud Credentials into a powerful currency of your Google Cloud skills.

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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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Ready to level up your infrastructure, Google Kubernetes Engine, and networking skills with the power of Gemini? Join this session to learn how large language models work and how it applies to roles in infrastructure, DevOps, and networking.

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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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Learn how Google Cloud and Rakuten have developed a joint solution to transform edge computing without disrupting existing investments. We will share the product integration and engineering successes as we embarked on in this journey. We will also discuss a customer use case integrating cloud-native storage with GDC Edge to meet the needs of stateful applications across a distributed organization. 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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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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