Relying on third-party-hosted artificial intelligence (AI) models may not always be an option for your application. You are also not guaranteed support for those model endpoints through your next software release. By hosting state-of-the-art AI models like Gemma in the same environment as AlloyDB Omni, you can run scalable generative AI apps on any cloud or on premises, for regulatory needs, with low latency. Learn from Neuropace how they run Omni for enterprise-grade vector search capabilities in their local environment, which contains sensitive customer workloads.

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Discover how government agencies are harnessing the power of artificial intelligence (AI) to streamline public health and labor services. Delve into the practical benefits of using AI to simplify scheduling, access medical records, and receive crucial information, as well as the transformative potential to provide citizens with a secure, personalized, and responsive experience. This session explores how document automation and natural language interactions enhance the claimant journey, leading to improved access and satisfaction. Learn how government agencies leverage AI to deliver efficient, inclusive, and impactful services to their communities.

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OpenTelemetry has become the standardized way of gaining visibility into application activity. There's a golden opportunity for security teams to work with wider IT organizations to leverage the benefits of improved observability, in modern environments based on GKE clusters. We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security.

We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security! 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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Use Google Cloud products to create architecture designs that are highly secure and robust. To protect your sensitive data and maintain trust with stakeholders, building a highly secure infrastructure is imperative to ensure the overall security and stability of an organization's digital presence. Attend the session to gain insights into the elements encompassed in a secure architectural framework with cloud native tools. 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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Google's cutting-edge ML infrastructure leverages millions of TPU and other accelerators deployed around the world. Learn how to efficiently manage this infrastructure with flexible consumption models tailored to your unique needs. We'll cover best practices and demonstrate real-world examples, such as Newo.AI building Digital Employees on Google Cloud and CentML.AI optimizing Goodput for Inference workloads.

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To optimize operations and costs, leading home services and insurance vertical company Porch Group migrated from AWS to GCP. This journey from in-depth analysis, to tailored design, yielded significant benefits including cost optimization, streamlined network management and better IT skill alignment with Google Cloud, allowing Porch.com to deliver exceptional value while optimizing its cloud infrastructure for the future. 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 us for an exploration of how Bayer and Insmed are leveraging Vertex AI and MedLM to revolutionize the healthcare landscape. Discover how these industry leaders are utilizing AI's power to accelerate drug discovery, enhance patient care, and unlock data insights. Leave with a newfound understanding of how Vertex AI and MedLM are transforming the industry and the potential they hold for the future of medicine. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Explore how BigQuery and BigLake power innovative data analytics solutions and walk through implementing data products powered by AI/ML for real-world applications. Learn from Google Cloud about the latest advancements in both technologies, with an emphasis on:

• BigLake's integration with Apache Iceberg for efficient AI/ML • How BigQuery serves as a foundational element in successful data mesh architectures

You will also hear from two leading customers, Trendyol and Snap, on their real-world journeys, demonstrating the transformative impact of these technologies on their analytics and AI initiatives at scale.

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What if your customer’s shopping experience could change with their mood or adapt to what they are specifically looking for today? With generative AI, retailers and consumer package goods companies can create an ultra-personal mind reader-type experience for their shoppers, across the omni-channel. Join Accenture and Google to learn more about how shopping can become hyper-personal, dynamic, and increase business outcomes.

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 is rapidly changing the landscape of the fashion industry, impacting everything from ideation, design, manufacturing, supply chain to branding. This talk demonstrates how we can leverage Google’s multimodal generative AI tools to enhance our creativity throughout the design process: from fashion trend analysis, finding design inspiration, garment style design, fabric print design, render of the final look, to branding and social media engagement. This talk is for anyone interested in the future of fashion with generative AI.

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Looking to bring artificial intelligence (AI) assistance to your development teams to increase their productivity? We’ll take you through the ways you can use Gemini in your code editor to expedite your application delivery. You’ll also learn how you can now customize Gemini with your own private codebase, with AI assistance deeply tailored to your organization’s libraries and coding conventions, and how Gemini can provide insights to help you understand its effects for your teams. We are joined by Capgemini who will share their own experiences of Gemini in coding.

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Vertex AI offers capabilities to customize and tune foundation models on your data for improved performance, as a unique offering to your customers. This includes techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback, and distillation. We will dive deep into SFT, learn how Vertex lets you customize Gemini models with hundreds of examples cost-effectively. We will also discuss distillation, a technique that uses a teacher model to train smaller student models to perform certain tasks better, at a lower cost and with lower latency. You will also get tips from Palo Alto Networks, based on their real-world experience.

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In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML 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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Explore the revolutionary Isolator tool developed by Google Cloud Consulting, enabling secure collaboration on AI projects involving sensitive data. Understand the Zero Trust architecture behind this solution and how it integrates Google's core security products for a safe collaborative environment. Gain insights into practical applications with a focus on maintaining data integrity. 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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Google Cloud is building the next generation of Observability solutions using Gemini and BigQuery. In this session, we’ll show you how we can remove fragmentation for your logs, metrics, traces, events, billing data sources using Google BigQuery on Google Cloud Operations Suite to perform Observability analytics. Targeted audience includes Developers, DevOps Engineers, SRE, and Cloud Architects.

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Developing apps is hard enough already, even before you consider how much work it'll be to set up your development system. Let's see how Google Cloud's latest tech changes that. We'll start a new workspace in Project IDX and build a new app using Flutter and Firebase, all in about 30 minutes. Live-coding in a conference talk? What could possibly go wrong?

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Embark on a journey through the diverse landscape of website deployment options available on Google Cloud. In this session, we’ll guide you through various ways to deploy a website, offering insights into the array of tools and services Google Cloud provides for hosting, scaling, and optimizing web applications. From traditional virtual machine instances to containerized solutions with Kubernetes, and serverless deployment with Cloud Functions and Cloud Run, this session will cover the entire spectrum of deployment strategies.

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In this game, you will monitor Google Compute Engine virtual machine (VM) instance with Cloud Monitoring, create and deploy a Cloud Function using the Cloud Platform Command Line, schedule a Cloud Function to identify, clean up unused IP addresses, and to identify and clean up unused and orphaned persistent disks.

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Papa Johns International, Inc. partnered with HCLTech and Google Cloud to optimize their commerce platform, breaking free from legacy limitations. They adopted cloud-born microservices and utilized ML and Vertex AI for data-driven decisions, enhancing personalization and delivery accuracy. This session will detail their digital modernization journey, highlighting improvements in customer experience, operational efficiency, competitive advantage, and the business impact of this transformation.

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 learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.

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Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

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Kubernetes is the de facto standard for running modern, containerized workloads in cloud. Google open-sourced Kubernetes 10 years ago and has built the easiest to use and most scalable managed service in Google Kubernetes Engine (GKE). Join this keynote to learn how top customers are leveraging GKE to run their businesses and to hear about the latest innovations and future directions of GKE.

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In this session we’ll create an Apigee proxy that will talk to our containerized workload on Google Cloud Run and Google Cloud SQL, where our business logic will be stored. We’ll explore Apigee capabilities like security and monetization, and build developer resources. We will also cover the concept of “treating your APIs as products.”

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With built-in multi-modal capabilities, Gemini enables powerful solutions spanning across text, images, and videos. In this session, you will learn about real-world use cases and best practices for building Gemini-powered applications that address compelling business use cases. You also learn how enterprises are driving transformation with Gemini on Vertex AI.

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