Retrieval Augmented Generation (RAG) is a powerful technique to provide real time, domain-specific context to the LLM to improve accuracy of responses. RAG doesn't require the addition of sensitive data to the model, but still requires application developers to address security and privacy of user and company data. In this session, you will learn about security implications of RAG workloads and how to architect your applications to handle user identity and to control data access.

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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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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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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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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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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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Gain insight into building domain-specific GenAI applications for the enterprise through the lens of the legal use case. Discover essential components of a comprehensive LLM ecosystem and operational model, and strategies for delivering relevant, accurate outputs with safe and ethical guardrails. Hear from PwC's Vince DiMascio on the real-world insights from a venture capital firm's successful legal GenAI implementation Don't miss this opportunity - discover the power of GenAI. 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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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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Generative AI is transforming software engineering. Powered by AI breakthroughs and extensive developer data, we already see impressive results in code generation, automation, and workflow acceleration. The future holds even greater promise: AI-powered code review, design to code, natural language to code, and more. Our focus is on human-centered AI and how an AI-powered software development cycle presents an opportunity to significantly amplify developer productivity by removing friction and toil, creating developer capacity so that developers can spend more time on creative problem solving, which will accelerate software engineer productivity and happiness.

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Application development in continuously breaking down silos. From Dev, DevTest, DevOps, DevSecOps, MLOps, Analytics, to… DevAI? Developers are now being thrust into the dynamic arena of real-time analytics and generative AI (GenAI): two forces shaping the next iteration of technology. This session dives deep into this intersection, demonstrating how developers can leverage these revolutionary tools to not only build applications, but craft game-changing business strategies.

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Ready to supercharge your Java skills with cutting-edge generative AI? Dive into this immersive hands-on workshop and learn how to build and deploy powerful gen AI applications in Cloud Run using gen AI with Vertex and Gemini models. We'll explore fast Java development, leverage the scalability of Cloud Run, and tackle real-world gen AI use cases. Get ready and unleash the power of AI in your next application!

Work with a complete end-to-end sample application, guided at all times by the power of Gemini.

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This lecture delves into the evolution from LLMOps to GenOps, showcasing how the GenOps solution revolutionizes Generative AI with its cutting-edge security and governance framework powered by Google Cloud. It highlights the necessity of continuous security throughout the AI lifecycle and the strategic integration of ethical guidelines and compliance measures, ensuring safe, compliant, and efficient AI operations. 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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