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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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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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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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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Artificial intelligence (AI) is rapidly advancing, and it’s important that effective security and privacy strategies evolve along with it. To support this evolution, Google Cloud introduced the Secure AI Framework (SAIF). Join us to learn why SAIF offers a practical approach to addressing the concerns that are top of mind for security and privacy professionals like you, and how to implement it.

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The future of cloud computing is shifting to private, encrypted services where people can be confident that their workloads stay verifiably isolated and protected. Explore the latest advances in confidential computing and confidential accelerators, and how they can be used to not only preserve your data confidentiality, but to free it for secure collaboration across teams, companies, and borders. You’ll see demos focusing on providing holistic data confidentiality and AI/ML model protection. Welcome to the future of secure data freedom!

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Ashish Vaswani is the CEO and Co-founder of Essential AI and Niki Parmar is the CTO and Co-founder of Essential AI. They are Google Brain Xooglers and the authors of the groundbreaking paper “Attention Is All You Need.”

Join us to learn from Ashish and Niki on their transformative journey from Google Brain to Essential AI.

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Do you have many more requests to fund Generative AI investments than available funds, and struggle to assess the business impact? Learn how one of the world's largest cyber security firms took on this challenge to accelerate business value realization with this transformative technology. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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There is tremendous excitement around the potential of generative AI in the practice of medicine. But just as important to the technology is the manner in which it leverages trusted and authoritative content. Come learn how industry leaders such as Mayo Clinic and HCA are leveraging Vertex AI Search and Cloud Healthcare infrastructure to improve access to medical information and to build solutions that benefit patients, physicians, and medical researchers.

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Discover how government agencies are leveraging AI to break down communication barriers, enhance accessibility, and deliver highly personalized services to their communities in real time. Explore how Document AI, Translation AI, and Google Workspace are ensuring equitable access to critical information and services, regardless of language proficiency. Learn best practices for building trust and fostering closer citizen-government relationships through AI-driven tools and technologies.

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H-E-B, like many enterprises, is moving away from legacy mainframes in favor of microservices & public cloud infrastructure. With hundreds of applications powering our 100+ year-old business, we need to be confident that the platform we are building will provide the agility & security to continue to innovate for our customers. Join our insightful panel discussion on leveraging your cloud platform and infrastructure for app modernization and as the foundation for your Gen AI journey. Our panelists will explore the new opportunities AI opens to engage customers, create new revenue streams, & lower cost to serve, in the retail sector. Additionally, we'll discuss how AI is improving application engineering productivity for digital teams. This session promises to offer valuable insights into the intersection of cloud, AI, & retail and how businesses can harness these technologies for success.

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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As more organizations adopt open database standards, they need easy-to-use, high-performance migration tools, especially for heterogeneous migrations. In this session, we will focus on how Database Migration Service (DMS) is revolutionizing migrations from Oracle to AlloyDB for PostgreSQL. With a unique set of capabilities, DMS is harnessing the power of AI to accelerate these migrations and to improve developer productivity with last-mile code conversion and code explainability.

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