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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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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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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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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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.

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Generative AI can redefine the way people create, communicate, collaborate and get things done. When you leverage powerful AI tools right within the apps you use daily, it's like suddenly having access to a team of experts in research, writing, graphics and organization who can help you reach for goals you thought impossible. Join this session to hear from Google Workspace customers and learn how the new era of Generative AI can help you outdo yourself and thrive in a new era of work - whether you work in a small business, a startup or a major multinational corporation.

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This session explores new features of Serverless Spark and its integration with BigQuery. Discover how to harness the strengths of BigQuery with generative AI and open-source tools for flexible, powerful data processing and AI model development. With Spark in BigQuery, you'll benefit from:

Rapid Spark development in BigQuery's secure, scalable environment Flexible data processing: Choose local execution, Spark, or BigQuery *Streamlined Spark workflows with BigQuery's workflow orchestration

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In today's dynamic landscape, organizations are developing applications and running workloads in hybrid/multicloud environments while adding generative AI. With complex networks and security policies, organizations need to simplify and build modern networks that deliver the performance, security, and operational efficiency to empower developers and operations while reducing costs. Join this session where we will share key networking innovations, design guidelines, demos, and case studies from our customers.

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Join this session to learn the latest innovations for BigQuery to support all data, be it structured or unstructured, across multiple and open data formats, and cross-clouds; all workloads, be they Cloud SQL, Spark, or Python; and built-in AI, to supercharge the work of data teams and unlock generative AI across new use cases. Learn how you can take advantage of BigQuery, a single, unified data platform that combines capabilities including data processing, streaming, and governance.

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Learn what’s new with Memorystore, including a deep dive into its latest generative AI launches and integrations. Dig into the latest Google Cloud Next launch announcements and how top customers are leveraging Memorystore for Redis Cluster for its speed, reliability, and ease of use. Discover how zero-downtime scaling (both in and out) can empower developers to start small and scale out as their applications grow – always ensuring reliability and performance for their most critical workloads.

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

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In this executive debate, leading industry analyst Mike Ferguson welcomes leaders from premier software companies to discuss key topics in data management and analytics. Panelists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, data and AI governance and sharing, and on-the-horizon issues that companies should be planning for today.

Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and experienced analysts in a packed, unscripted, candid discussion.