AI-generated live images are a game-changer for enterprises. Whether it is advertising, marketing, e-commerce, or entertainment, live images can help you create more appealing, engaging, and personalized customer experiences and forever change how you interact with your consumers. Text-to-live image and capabilities can help create more compelling stories, immersive visuals, and amazing content. Attend this session and learn how Vertex AI can help you create the next generation of customer delight.

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Which software vulnerabilities in my cloud environment pose the greatest risk, and how do I fix them quickly? What’s the best way to prevent over-permissioned identities from leading to unauthorized cloud access? Join this technical session and learn how new vulnerability response and cloud identity and entitlement management capabilities in Security Command Center can help strengthen your overall risk posture.

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Ready to deploy lightning-fast AI apps to the web? Angular v18 brings a set of forward-thinking features to the web, setting new standards for performance and developer experience. Learn how Firebase hosting with Angular allows you to efficiently build and deploy with Google’s Gemini generative AI.

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We are bringing Google’s research and innovations in artificial intelligence (AI) directly to your data in BigQuery. Join this session to learn about BigQuery’s built-in ML capabilities, such as model inferences, and how to use Gemini, Google's most capable and flexbile AI model yet, directly within BigQuery to simplify advanced use cases such as sentiment analysis, entity extraction, and many more.

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Join us for an inspiring session as we delve into the transformative journey of a Fortune 50 retailer who reimagined modern customer experiences by leveraging the power of Google Cloud.

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This session will explain how you can architect your mission-critical workloads on Google Cloud infrastructure to ensure high availability and resilience inline with your recovery point objective and recovery time objective requirements.

We will cover architectures, product capabilities, and operational procedures to ensure that your organization can continue to function through interruptions to keep your mission-critical workloads running. Examples include easily deploying a critical database workload with resilience across multiple points of presence, bringing up a workload quickly and reliably when a disaster occurs, and managing backups at scale with cost efficiency.

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Plan, migrate, and deploy your mission-critical SAP workloads on Google Cloud’s highly available, secure, and scalable certified infrastructure. In this technical session, learn how our customers use SAP-specific tools and infrastructure to improve availability, performance, and security based on proven best practices. Post-deployment, learn how customers use Google Cloud’s SAP-optimized workload management tools to ensure smooth, efficient operations of and continuously high availability for their SAP applications.

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This session offers a hands-on guide to building your first generative AI application within the secure and controlled infrastructure of Google Distributed Cloud Hosted. Explore the potential of generative AI while ensuring data security and meeting compliance requirements in air-gapped settings.

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Many companies are looking for ways to empower their developers and operators with simple self-service mechanisms for creating, developing, and operating their applications. In this talk, we’ll give an overview of how to augment Google Cloud with Backstage, an internal developer portal framework. In addition, we’ll hear how HCA Healthcare, one of the world's largest hospital operators, transformed its operations to provide developer self service via Backstage and codified its best practices at scale.

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According to a 2023 Stack Overflow survey, the combination of Firebase and Google Cloud is the #1 choice for learning how to develop apps. Join this session to learn why this is true and how you can best leverage Firebase and Google Cloud together. Whether you’re a startup or a world’s leading retailer, you can easily get started with Firebase, and grow your business with Google Cloud. In this session, hosted by product leaders from both teams, they’ll discuss across products including Firebase, Vertex AI, and Cloud Run.

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Cyberattacks are rising, and businesses need to protect themselves in the cloud. In this session, we’ll discuss the latest trends in cloud security and how businesses can integrate security services in the cloud to mitigate risks. We’ll also hear from a panel of cybersecurity experts from Exabeam and Palo Alto Networks whose expertise and services will optimize your security posture, drive business value, and keep you ahead of emerging threats. Tap into a wealth of cybersecurity knowledge to get the most out of your investment.

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Ford Motor Company has leveraged Cloud Run as its first-choice platform for its Google Cloud migration. By taking advantage of the Cloud Run serverless container platform, Ford’s migration of thousands of services has improved developer productivity, application scalability, and operational efficiency. In this talk, we’ll discuss the how, the why, and the results of Ford's massive replatforming to Google Cloud with Cloud Run.

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This in-depth technical session delves into real-world use cases, and design patterns for building generative AI applications using Google Cloud Databases, Vertex AI, and popular open-source orchestration frameworks such as LangChain. We’ll showcase a sample application that leverages the versatility of Google Cloud Databases to implement dynamic grounding using various RAG techniques, giving you valuable insights on implementing enterprise-grade gen AI solutions.

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Learn from data and AI thought leaders on this panel as they discuss how generative AI has shaped their outlook and approach to data governance. Learn from them as they talk candidly about building a data governance strategy, what they’ve learned so far, and how Google Cloud has helped them.

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Block storage is the foundation for cloud workloads, but ensuring your infrastructure is optimized and protected can be challenging. Explore how Google Cloud Hyperdisk makes efficiency, optimization, and protection easy on any workload, including data analytics, database management systems, and AI/ML.

Learn to use Hyperdisk to:
- Optimize the total cost of ownership of your enterprise workloads - Achieve near-zero recovery point objective/recovery time objective - Accelerate AI inference workloads and maximize GPU efficiency

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Enterprise and regulated customers must deploy their workloads and data in a compliant environment and prove to their leadership and regulators that their applications meet compliance controls using sufficient proof. Providing compliance can be an arduous task with significant adhoc engineering investments to understand the controls that need to be included, gather evidence, generate reports, etc. Learn how to reduce toil for your compliance and audit teams by automating the complete understanding of customer responsibilities vs communication service providers' (CSP) responsibilities of compliance enforcement, selection of controls, audit assessments, and gathering evidence.

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Today's applications are built using containers, and Kubernetes has become the de facto standard for running containerized workloads. Google Kubernetes Engine (GKE) is the most automated, scalable, and fully managed Kubernetes platform run by the largest contributor to Kubernetes. Join this session to learn how GKE simplifies compute orchestration, provides cost-optimized autoscaling and reduces Day 2 operations, allowing you to focus on building and running your application workloads while Google Cloud manages your infrastructure.

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Learn common architecture patterns that customers use with Memorystore to supercharge their most demanding use-cases such as caching, generative AI, leaderboards, real-time analytics, and others. We'll also dive into how Memorystore’s readily available and resilient architecture combined with its zero-downtime scalability provides 99.99% uptime and submillisecond performance.

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Application development needs are growing to keep pace with evolving businesses. Developers are familiar with multiple languages, front-end frameworks, platform technologies, and more. In this workshop, learn how Gemini is re-imagining the developer experience to enable you to stay in flow, context-switch less, and get code to production faster. If you’re not talking about AI Assistance - your competitor is. Gemini is one of the biggest door openers in 2024. Don't forget to bring your laptop! It's recommended to have Visual Studio Code and Flutter installed prior to this workshop.

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API attacks are on the rise, threatening your applications and sensitive data. Apigee's Advanced API Security helps detect API abuses with machine learning models training on a corpus of traffic from Google’s services like YouTube. Join us in this session to learn how Apigee customizes these models for each customer to improve precision in detecting malicious activity.

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Web Security Scanner identifies security vulnerabilities in your App Engine, Google Kubernetes Engine (GKE), and Compute Engine web applications. This service crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible. It can automatically scan and detect four common vulnerabilities, including cross-site-scripting (XSS), flash injection, mixed content (HTTP in HTTPS), and outdated/insecure libraries. In this spotlight lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.

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Dive into Priceline's collaborative journey with Google Cloud to harness the potential of generative AI in reshaping the travel industry. This session offers an insider look into the challenges, achievements, and the transformative impact of AI on travel services. Learn about the coordinated efforts across teams that have propelled Priceline to the forefront of travel innovation. 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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In this mini course, you will explore Vertex AI Conversation. Vertex AI Conversation is a set of generative conversational features built on Dialogflow and Vertex AI. With these features, you can now use large language models (LLMs) to parse and comprehend content, generate agent responses, and control conversation flow. You will explore these features and create your own data store agent in a hands-on lab experience.

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Understand the critical need for ethical, reliable, and successful AI systems. You will leave this session understanding: how to think about RAI in the design and development process and how to weave it into the testing and training of development.

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BigQuery Studio and BigFrames are a powerful combination for scalable data science and analytics. Unify data management, analysis, and collaboration with BigQuery Studio’s intuitive interface. Scale data science and machine learning with BigFrames’ powerful Python API. Get deeper insights, faster.

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