Discover the transformative synergy between SAP Datasphere and Google BigQuery, driving data insights. We'll explore Datasphere's transformation, integration, and data governance capabilities alongside Big Query’s scalability and real-time analytics process. Also learn how SAP GenAI Hub and Google Cloud accelerate AI initiatives and innovation. You will also hear real-world success stories on how businesses leverage this integration for tangible outcomes.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Prompt management is like the invisible conductor of your artificial intelligence (AI) orchestra. It's the science of crafting, organizing, and optimizing the prompts that guide your AI models to perform their best. The session will cover the end-to-end prompt lifecycle in Vertex AI Studio to help you reach production sooner. This includes new rapid evaluation within Vertex and the ability to "critique" model response for automatic prompt improvements.

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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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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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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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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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When software architecture isn’t drawn with pixels, but is instead defined with data, we boost architecture practice productivity. With Vertex generative AI, we can create software architecture documents with AI-written-and-summarized sections. Additionally, with Vertex Search and Conversation, you can now ask questions about your architecture. This session will showcase Vertex AI, dive deeper into its text models and prompt engineering for architecture, and explore the new Vertex Search and Conversation feature.

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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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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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Move past simple automation and unlock the true potential of generative AI to transform the core industry value chain processes like product development, supply chain optimization, and hyper-personalized marketing. Dive into real-world case studies, engage with live demos, and participate in dynamic discussions. Gain actionable insights and a strategic roadmap to leverage generative AI's disruptive potential for competitive advantage. Don't just automate. Redefine and transform your industry value chains with us. 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 transforming business processes, reducing the time spent on operational and administrative tasks. Discover how to reduce operational costs, streamline workflows, and unlock new levels of efficiency through automation with Orby and Automation Anywhere. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Building an assistant capable of answering complex, company-specific questions and executing workflows requires first building a powerful Retrieval Augmented Generation (RAG) system. Founding engineer Eddie Zhou explains how Glean built its RAG system on Google Cloud— combining a domain-adapted search engine with dynamic prompts to harness the full capabilities of Gemini's reasoning engine. 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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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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This session will detail the process of architecting enterprise-grade big data pipelines, encompassing the orchestration of Ephemeral Dataproc clusters, customization through custom images and the strategic incorporation of GPU resources. Real-world use cases, best practices, challenges, and future trends in this domain will also be discussed, providing actionable insights for implementing cutting-edge big data solutions.

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Learn about real-time AI-powered insights with BigQuery continuous queries, and how this new feature is poised to revolutionize data engineering by empowering event-driven and AI-driven data pipelines with Vertex AI, Pub/Sub, and Bigtable – all through the familiar language of Cloud SQL. Learn about how UPS was able to use big data on millions of shipped packages to reduce package theft, their work on more efficient claims processing, and why they are looking to BigQuery to accelerate time to insights and smarter business outcomes.

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This session is a deep dive into strategies for maximizing the performance and efficiency of generative AI model training using Vertex AI and Cloud TPUs (Tensor Processing Units) and GPUs. You'll learn how to harness the power of Cloud TPUs and GPUs for accelerated training. Join our experts to learn more about best practices for configuring compute resources, selecting the ideal hardware for your use cases, and streamlining the overall model development process with Ray, Persistent Cluster, and shared reservations.

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Continuous Deployment can be a roadblock in the MLOps lifecycle, often requiring custom pipelines and complex configurations. Solution? The new integrations of Google Cloud Deploy and Vertex AI revolutionizes machine learning (ML) deployment by automating the entire process, and makes it easy to roll back through idempotent releases. The groundbreaking integration of Cloud Deploy and Vertex AI lets you test, validate, and deploy your ML models in minutes, without writing a single line of code.

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