Join us for a firsthand account of TELUS's epic journey to the cloud, migrating their vast Oracle database landscape to Google Cloud Platform (GCP). Discover how this strategic move unlocks unparalleled performance, elasticity, and innovation, propelling TELUS towards a future of limitless potential. In this session you will witness firsthand the tangible benefits TELUS has achieved in terms of performance, scalability, and security and learn from the experts and gain invaluable insights into planning and executing a complex cloud migration. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Generative AI poses the potential to accelerate the priorities of many small businesses. Identifying the right use case is the first step towards leveraging the benefits of generative AI. Learn from expert gen AI specialists, who meet with hundreds of startups and small businesses, on the most successful and practical applications in the industry today. Walk away with a tactical step-by-step guide for adopting gen AI and how to go from a point of contact to production efficiently.

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In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud to create new value for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models and the best integrated platform to work with when it comes to generative AI.

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Please join the Illinois Office of Children’s Behavioral Health Transformation in a discussion about how the Department of Human Services plans for BEACON to leverage powerful technology to streamline access to youth mental health services. This innovative platform will streamline access to vital behavioral health resources for children and families across the state, transforming how they navigate services and receive support. Learn about the challenges addressed, the technology behind BEACON, and the potential impact on improving children's well-being.

Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Learn how to empower teams to speed development of the latest enterprise-grade innovations on Google Cloud Marketplace, from data analytics and generative AI to best-of-breed business applications. Discover features to help maintain real-time visibility and governance over your development and operations so you can mitigate shadow IT. You’ll hear from customers who have successfully grown their business and increased time-to-deployment.

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Generative AI has revolutionized the business landscape, creating new opportunities for productivity gains and topline growth. Our survey of over 1,400 C-suite executives reveals that 89% rank AI as a top-three tech priority for 2024, with 51% ranking it at the top. But many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations, and 66% of leaders express dissatisfaction with their organization's progress. What key lessons can we learn from the companies leading the AI transformation?

Join us to explore the insights from our survey and analysis.

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The number of clusters running data apps on Google Kubernetes Engine has grown exponentially, doubling every year since 2019. With the rise of AI/ML along with accelerated compute, data architectures are gaining importance. Join this session to learn about Kubernetes data architectures for AI/ML, storage best practices, data availability and customer use cases. This session is meant to educate you about retooling your skill set for the new paradigm of data on Kubernetes.

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Learn how to integrate generative AI capabilities with your Android. We’ll cover the solutions to run on-device gen AI inference for text and image generation. We’ll also explore how to use Gemini Pro’s advanced multimodal capabilities in your application.

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Join this hands-on presentation where we harness the power of Flutter, Firebase, and Gemini to build a dynamic, real-world application from scratch. You'll learn first hand how Firebase's Firestore and Storage streamline data management and media handling. The presentation will showcase the latest AI coding capabilities using Gemini, incorporating the generative AI Dart software development kit to create a glimpse into the future of intelligent apps.

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Cloud Run is Google Cloud's serverless runtime. It’s the simplest way to deploy a website or web API or perform streaming and batch data processing. In this session, we’ll cover what's new for two major areas of Cloud Run: Enterprise architectures and streamlined application management.

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Cloud infrastructure management demands constant attention to ensure high availability, efficiency, and security. Gemini, a powerful large language model assistant, streamlines these critical tasks for compute, storage, and networking on Google Cloud. Imagine describing infrastructure needs in plain language and receiving best-practices configurations – or proactively analyzing your environment to identify troubleshooting root causes. Join this session to see how Gemini automates routine tasks, suggests optimizations, and provides infrastructure insights.

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Generative AI is only as good as its data. Join this session to explore the powerful synergy between Stack Overflow and Gemini and learn how they’re coming together to bring a new level of productivity through cutting-edge AI tools backed by accurate data foundation trusted by millions of developers. The speakers will showcase where developers can benefit from the enterprise and security support you’ve come to expect from Google, with accurate and trusted knowledge that’s made Stack Overflow a go-to resource for all developers.

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The United States Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies. They partnered with Accenture Federal and Google Cloud to establish a scaled system for Patent Search in record time. Learn how the traditional examiner workflows were augmented with new capabilities for faster and more relevant searches. 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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Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

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Discover how Google Cloud's application integration solutions create seamless customer journeys, enhance personalization, and optimize retail search using real-time data. We'll explore how retailers leverage customer insights to boost revenue, drive engagement, and deliver exceptional experiences. Empower your retail business to attract and retain customers, ultimately exceeding their expectations and driving bottom-line growth.

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Learn how the DoD is using AI at the edge to improve cancer detection for service members and veterans. The Augmented Reality Microscope (ARM) is deployed at remote military treatment facilities around the world. The prototype device is helping pathologists find cancer faster and with better accuracy.

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Build AI-powered workflows and app integrations with Google Workspace. We’ll share our vision for Gemini-powered workflows that are seamlessly integrated across our Workspace apps – built in a way that the users hardly notice it’s a workflow they are creating. We’ll also cover the latest news on Google Workspaces platform and ecosystem capabilities in Google Meet, Google Chat apps, and Smart Canvas. Also, we’ll share the latest integration news for Gemini for Google Workspace, including Salesforce and a new partnership.

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Firewalls are essential for any network security architecture. As organizations embrace the cloud, they seek cloud-first firewall solutions that seamlessly adapt to their evolving workload protection requirements. This session explores how you can reach this goal with Google Cloud's next generation firewall (NGFW). Learn how to secure all network paths with advanced threat prevention, coupled with flexible and granular control to ensure a strong security posture in Google Cloud. Plus, you'll gain insights from shared customer experiences in safeguarding workloads with Cloud NGFW.

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The key to maintaining a strong cloud security posture is to build from the start on a robust foundation of baseline security controls. Google Cloud’s Security Foundation provides recommended controls to common cloud adoption use cases, including infrastructure modernization, AI workloads, data analytics, and application modernization. In this session, you’ll learn how to start secure and stay secure in the cloud using the Security Foundation.

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Disaster Ready with Google Cloud: Hawaii's story of rapid AI deployment for community support. Imagine facing a disaster and needing immediate assistance. How can you ensure communities receive the support they need quickly and efficiently? Join us as we explore how Hawaii's Department of Human Services leveraged Google's Contact Center AI platform to seamlessly scale up during emergencies. You'll also learn how the Hawaii Department of Labor and Industrial Relations stood up a fully functional call center within 24 hours in response to the Maui wildfires. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Training large AI models at scale requires high-performance and purpose-built infrastructure. This session will guide you through the key considerations for choosing tensor processing units (TPUs) and graphics processing unit (GPUs) for your training needs. Explore the strengths of each accelerator for various workloads, like large language models and generative AI models. Discover best practices for training and optimizing your training workflow on Google Cloud using TPUs and GPUs. Understand the performance and cost implications, along with cost-optimization strategies at scale.

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Generative AI has the potential to transform the way we live, work, bank, and invest. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency in banking. The session will also feature customer success stories and a discussion with banking executives at the forefront of using generative AI.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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In this session, you’ll learn how to deploy a fully-functional Retrieval-Augmented Generation (RAG) application to Google Cloud using open-source tools and models from Ray, HuggingFace, and LangChain. You’ll learn how to augment it with your own data using Ray on Google Kubernetes Engine (GKE) and Cloud SQL’s pgvector extension, deploy any model from HuggingFace to GKE, and rapidly develop your LangChain application on Cloud Run. After the session, you’ll be able to deploy your own RAG application and customize it to your needs.

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