Natural language is an ideal interface for many real time applications such as inventory tracking, patient journey, field sales, and other on-the-go situations. However, these real time applications also require up to date and accurate information, which necessitates a real time RAG architecture. In this session, we will demonstrate how you can build an accurate and up to date real time generative AI application using a combination of Dataflow and graph databases.

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In this talk, we delve into the complexities of building enterprise AI applications, including customization, evaluation, and inference of large language models (LLMs). We start by outlining the solution design space and presenting a comprehensive LLM evaluation methodology. Then, we review state-of-the-art LLM customization techniques, introduce NVIDIA Inference Microservice (NIM) and a suite of cloud-native NVIDIA NeMo microservices for ease of LLM deployment and operation on Google Kubernetes Engine (GKE). We conclude with a live demo, followed by practical recommendations for enterprises.

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In this session, we’ll learn how to create an AI-powered game with Gemini and Flutter, à la “choose your own adventure” style. We’ll rely on Gemini to generate our game mechanics, deploy our Dart Frog backend to Google Cloud, and build an engaging UI with Flutter, all with one single programming language: Dart.

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LangChain is the most popular open-source framework for building LLM-based apps. Google Cloud is the easiest place to deploy LangChain apps to production. In this session technical practitioners will learn how to combine LangChain on Cloud Run with Cloud SQL's pgvector for vector storage and Vertex Endpoints to create generative AI applications.

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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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Only 1 in 10 organizations are meaningfully adopting generative AI today. Why Most tech stacks run on a labyrinth of applications, making it hard to access data or seamlessly embed AI into a workflow. Join us to learn how Google Cloud's Integration Services help you connect any application, integrate AI capabilities, and automate complex tasks. Learn how Wayfair built reusable, scaled components in a high-visibility workflow using Google's Application Integration, which enabled consistency in service, configurability of workflows, visibility into leads, customers, tasks, assignments, and so on, and made system-wide measurement easy throughout the Wayfair business-to-business sales funnel.

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What makes you different and unique?

Every one of us has multiple, nuanced identities that help form our lives. Just as our own identities are complex and so are those we work with. Gender, race, ethnicity, age, education, among others intersect and interact to shape who we are and what challenges and contradictions we confront. The Flower Power promotes a fuller understanding of intersectionality that helps us become more integrated and sensitive human beings and more effective leaders and activists.

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Research indicates that organizations that absorb generative AI fastest will see disproportionate business success. Accelerate and equip your organization to leverage generative AI by understanding a practical and pragmatic framework to build organizational muscle to drive business value. This workshop covers business use cases accelerated by Google Cloud solutions, showcases training opportunities across functional roles, and will include real time brainstorming and identification of actions.

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In today's complex and changing geopolitical landscape, robust security and compliance are not just technical requirements – they are business imperatives. Discover how Google Distributed Cloud Hosted (GDC Hosted) delivers multi-layered security and enables compliance across your on-premises infrastructure – helping protect your sensitive data, mitigate risks, and satisfy regulatory demands, while delivering on new AI-enabled workloads.

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Platform/ IT admins: Ever experienced delays setting up a foundational infrastructure on Google Cloud? Look no further than Google's new solution for setting up a foundational infrastructure -- a mix of UI and Infrastructure as Code. Now available to all customers globally in the console, the Google Cloud setup product will guide you through setting up an organization resource, integrating with a 3p identity provider, setting up initial folder/project structure, IAM, Shared VPCs, hybrid networking and more. You can deploy directly from the console or download as Terraform. In this session will demo the new guided product and share how you can test and provide feedback.

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Foundation models offer incredible answer-generation capabilities, but they can sometimes produce inaccurate or irrelevant outputs. This session explores how grounding AI responses in data can reduce hallucinations and improve the reliability of your applications. We'll delve into the differentiated grounding capabilities offered by Vertex AI, including out-of-the-box grounding capabilities, grounding on public datasets, and grounding in Google Search that can improve the accuracy, relevance, and trustworthiness of generative AI applications.

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Evaluating, orchestrating, and monitoring large language models (LLMs) requires a new developer toolkit to more confidently build LLM-powered applications. Join experts from Weights & Biases, Arize AI, Securiti AI, and LlamaIndex to discuss tools, methods, and best practices to take AI applications from prototype to production.

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Learn how Citadel’s fixed income fund powers their daily financial activities. First, we’ll explore the challenges of calculating profit and loss across thousands of positions, back-testing models and running trading strategies. Then we’ll discuss developing a versatile platform that bursts to thousands of workers while also handling real-time calculations. Finally, we’ll present challenges encountered and give insight on practical solutions teams can apply to their own cloud compute infrastructures.

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Join us to see a live Mainframe application assessment and modernization demo powered by generative AI. Learn how we can leverage large language models to understand the application logic and generate test cases as first-phase, and then use our Vertex AI Codey to transform to a modern application architecture and code.

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While there is a lot of enthusiasm around Generative AI, manufacturers have to consider the foundational elements needed to successfully integrate new business models and technologies into their enterprise businesses. Join this session to hear what we have learned about AI success. A customer expert panel will share how they have successfully leveraged Google Cloud AI and discuss several AI-driven manufacturing use cases to inspire you and your team.

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Generative AI has the potential to transform retail experiences, both digital and in-store. The intersection of AI and edge is enabling a whole new-set of store experiences. In this session, we will feature senior executives from customers at the forefront of this transformation share their perspectives and learnings.

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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 financial services. The session will also feature customer success stories and a discussion with industry executives at the forefront of using generative AI.

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Join industry leaders at the forefront of generative AI to explore its transformative potential in healthcare and life sciences. In this session, you’ll hear firsthand from executives who are driving this generative AI revolution. Gain insights into real-world implementations through the exploration of successful use cases, and discussion around the ethical considerations and future horizons of this transformative technology.

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Audiences are consuming more content than any before, but competition for their attention is fierce. Learn how industry leaders are using technologies – AI, cloud, and more – to create and serve experiences that stand out. Join our expert panel as they discuss the challenges of today's media landscape and share how you can push boundaries to reach new players.

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With Google’s new family of state-of-the-art, lightweight, and easy-to-use open models, Google Cloud is the best place to create great AI-powered experiences. In this talk, we will go over how to leverage Gemma's model's full potential with Vertex AI and Google Kubernetes Engine, including optimized performance on Google Cloud TPUs and GPUs, and show how they can easily be used and empower your team to succeed.

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