You may already know that Firebase is a great platform for full stack developers, offering a comprehensive set of building blocks to create a backend for almost any kind of app tailored for mobile and web development. But did you know that Firebase is also powered by and works with Google Cloud, allowing enterprise grade app development and even more use cases around complex server-side processes to create even better app experiences? We’ll show you how to do just that to get started, or expand your existing enterprise applications.

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Employees waste valuable time and struggle to deliver high-quality results due to fragmented tools and scattered information. Solve this challenge with Google Cloud's Vertex AI and build powerful employee assistants! These AI-powered tools empower knowledge workers to quickly find relevant information, summarize context, answer questions, and even generate content. Join our session to learn how Vertex AI simplifies AI development for various functions – including marketing, sales, finance, and more. Our platform offers a user-friendly developer environment, prebuilt components, and robust tools, ensuring rapid prototyping and quality management for your enterprise-grade AI applications.

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As AI adoption continues to grow at a rapid pace, data governance will become critical to ensure high-quality data powers AI models and large language models. Learn about the newest data governance innovations for Dataplex, including new integrations with Vertex AI, to help enterprises centrally discover, manage, monitor, and govern data across all data types to power analytics and AI at scale. Learn from leaders at Orange and Ford on how they are leveraging Dataplex to securely manage and govern their data in the AI era.

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Complexity and fragmentation of current generative AI models can hinder development and innovation. Vertex Model Garden offers over 130 models on one platform, facilitating innovation with features like one-click deployment for leading open models and integration with Hugging Face. We'll explore how Vertex AI Model Garden transforms AI lifecycle management, from experimentation to scalable deployment. Discover efficiency with an end-to-end example of how to find models, manage data, configure endpoints, and deploy models as scalable APIs.

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As organizations - especially startups - strive for innovation, adaptability, and flexibility, the ability to tap diverse perspectives represents a vital opportunity to build universally accessible technology that helps everyone express themselves and reach their full potential.. Join this panel discussion to hear strategies and actionable advice for accelerating success through a representative workforce.

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Learn how Google Kubernetes Engine (GKE) Autopilot helped redesign Ubie's microservice platform. Ubie offers AI-based health tech products in Japan and the U.S. Since initially adopting Google Cloud six years ago, Ubie experienced growth-related challenges, particularly in reliability, security, and privacy. In this session, we delve into the strategic decision to employ GKE Autopilot in Ubie's transformation journey of re-architecture.

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Conversational large language model (LLM) agents have the potential to revolutionize the online customer journey, but they carry substantial risks. How can we evaluate the nuance and effectiveness of an agent’s conversational outputs when there isn’t any ground truth for comparison, and without using hundreds of hours of manual conversation time? Join this technical deep-dive to learn how Alaska Airlines has unlocked 10x productivity gains by training generative AI agents to converse at scale with their customer-facing LLM chatbots.

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New generative AI innovations in Firebase and Firestore means that you can deliver scalable applications with differentiated capabilities for your business in a matter of weeks. Come learn about these new platform capabilities and how you can leverage them in your app development journey.

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Data is a valuable asset, and companies increasingly want to monetize it while also maintaining a high level of privacy and security. We’ll cover a real world example of data sharing and monetization between beauty tech company L’Oréal and multi-national retailer Carrefour. Learn how BigQuery data clean rooms keep data such as sales, customer segmentations, and stocks safe while also enabling monetization opportunities with third parties. You'll learn the newest innovations in data sharing for BigQuery.

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Are you curious about how generative AI enables leading retailers to go paperless and save millions? Do you want to know how gen AI propelled Formula E to break a world record? Join McKinsey's data scientists and QuantumBlack AI leaders to discover how organizations across industries are leveraging gen AI to capture value. Get insights and practical tips on how companies are putting gen AI-enabled solutions into production today.

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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Get practical advice to improve your cloud financial operations. Join us to learn about new features to avoid unexpected expenses and extract more value from your cloud investment.

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You’ve provisioned your cloud resources with infrastructure as code. A year later, you find yourself refactoring it to better manage resource usage and dependencies and add a new region, runtime, or project. In this session, you’ll learn the patterns and practices to go from zero to the multi-region, multi-runtime, multi-project, multicloud scale. By establishing the foundation for scale in the beginning, you can lessen your refactoring effort and add new runtimes, regions, projects, and even clouds to your system.

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Deutsche Bank has an ambitious goal to scale its use of cloud and AI in order to transform the bank. However, as a 154 year-old bank in an industry where trust is fundamental to its long-term success, it needs to balance the ambitious use of these new technologies with robust risk management. DB’s partnership with Google since 2020 has enabled us to combine these skills and develop a safe, scalable AI environment using Vertex AI to provide data scientists with an interactive development experience with both traditional machine learning pipelines, and more recently, enabling them to explore the possibilities with generative AI

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The leadership skillset needed for tomorrow includes the ability to lead diverse organizations and teams. Inclusive leadership is predicated on belonging, as it is both the foundation and end result to diversity, equity and inclusion efforts. In this panel discussion, we’ll hear from Google leaders on the concept of belonging and its impact on individuals and teams. Further, we will explore why building for belonging is crucial to how leaders think about their leadership identity and legacy. They'll share their personal experiences and insights, what legacies they want to leave behind, and what leaders can do to incorporate DEIB into their leadership philosophies.

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Dialpad offers support for fast growing venture backed startups looking to scale revenue or impact. Support customers, drive sales, and collaborate with your team—all in one, beautiful Ai-powered app. Join us to learn about Dialpad’s benefits to founders including product discounting and client advocacy. 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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In this mini course, you will explore automatic side-by-side evaluation on Vertex AI using AutoSxS, a tool for evaluating models relative to each other. You will understand the application of side-by-side evaluation how you can use AutoSxS through the Vertex AI API or Vertex AI SDK for Python.

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In this mini course you will learn the fundamentals of BigQuery, and how to use BigQuery to solve common challenges faced by data analysts. At the end of the course, you will be able to practice querying large datasets with BigQuery in a live lab environment.

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In this mini course, you will explore the use of Gemini, PaLM, and other generative AI models using Vertex AI Studio. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss other services in Vertex AI Studio to improve output quality.

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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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