In this session, you will learn how you can leverage the most comprehensive and integrated enterprise-ready AI platform, Vertex AI, to unlock the power of foundation models, no matter the model's origin, first-party, third-party or even open. Engage in discussion with customers who have deployed production-grade generative AI with Vertex AI.

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Generative AI has emerged as a powerful tool for revolutionizing customer service, offering unprecedented capabilities to personalize interactions, assisting agents, providing insights and analytics, automating tasks, and enhancing customer satisfaction. This session will explore how the latest generative AI technology can be applied to transform key areas of customer service.

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Large language models offer capabilities that overlap with more traditional approaches to natural language processing tasks like translation. Multimodal large language models have an even broader overlap with traditional speech and image models. You can now choose which approach best suits your needs. Here, you will learn about their strengths and weaknesses compared to neural machine translation techniques and receive an overview of the latest advancements in our SOTA Cloud Translation API, combing ease of use with contextual capabilities of generative AI models, to enhance our customers' translations at scale. Experience how new models trained to perform both transcription and translation can go from speech to text in a target language using one large model.

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Traditional infrastructure is no longer adequate for the exponentially growing demands of generative AI and LLMs. Join this session to learn how infrastructure design is meeting those demands, how organizations are adapting to capitalize on the new infrastructure landscape, and how this may evolve in future.

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In this workshop, you will learn how you can easily create a Retrieval Augmented Generation (RAG) application and how to use it. We will be highlighting AlloyDB Omni (our deploy-anywhere version of AlloyDB) with pgvector's vector search capabilities. You will learn to run an LLM and embedding model locally so that you can run this application anywhere. Creating an app in a secure way with LLMs playing around your data is harder than ever. Come and build with me!

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Liberty Shared Services processes hundreds of thousands of invoices annually on behalf of its customers - a necessary but resource-intensive task related to varying invoice formats, globally diverse taxes, currencies, and other complexities. Find out how Liberty Shared Services and Datatonic developed an intelligent invoice-matching solution to address this challenge using Google Cloud, and how consequently, they are achieving significant operational efficiencies and cost savings, including slashing invoice processing costs by 70%.

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Dive into the world of Google Cloud databases and discover how to transform the way you build and deploy AI-powered applications. This spotlight session reveals cutting-edge innovations that will help you modernize your database estate to easily build enterprise generative AI apps, unify your analytical and transactional workloads, and simplify database management with assistive AI. Join us to hear our vision for the future of Google Cloud databases and see how we're pushing the boundaries alongside the AI ecosystem. Expect exciting product announcements, insightful demos, and real-world customer success stories highlighting the transformative value of Google's Data Cloud.

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With the emergence of generative AI and the dazzling success it has achieved in just a few months, companies are asking a lot of questions about the relevance of AI and its fields of application overall domains. After DevOps, FinOps or even DevSecOps, it was time to attach the term AI to the profession of ops to give birth to AIOps practices where we will use AI to help ops on a daily basis and enable them to win considerable time with prevention, optimization or even smart assistance in their everyday work.

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Google’s decades worth of investments across infrastructure and large language models have positioned Google Cloud to deliver on the time to value for generative AI like no other hyperscaler. Join Google Cloud’s Amin Vahdat as he shares how Google’s rapid pace of AI innovation across our systems is translated into a vertically integrated AI stack powering industry innovators. Amin will be joined by Palo Alto Networks and Mayo Clinic, to showcase best practice in adopting generative AI with key considerations around use cases, infrastructure, data foundations, governance and responsibility.

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Generative AI is rapidly transforming how businesses operate. But how can leaders measure ROI on a constantly evolving technology? Join Google Cloud leaders and industry innovators such as Victoria Secret as they reveal how proven strategies and quick wins are driving immediate value while laying the foundation for future breakthroughs. Learn how to prioritize today’s proven use cases, manage the nuance of measurement, and build your own roadmap to generative AI ROI.

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The session will explore how connected AI agents and AI-powered “tools for thought” will change our relationship to knowledge work. It will feature Aparna Pappu, GM and VP of Google Workspace, and Steven Johnson, Author and Editorial Director for NotebookLM at Google Labs. Aparna and Steven will discuss how AI-powered agents and the ability to engage with generative AI as a thought partner and research assistant will transform the way we work. Their discussion will provide a glimpse into the future of how AI will not only help us be more productive and creative, but how it will help us refine our own strategies and thinking.

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Leverage Google Cloud's robust infrastructure to seamlessly develop and deploy enterprise-ready generative AI applications. This session delves into the intricacies of building scalable, high-performance gen AI applications utilizing Google Databases and Cloud Runtimes. Discover how to establish end-to-end governance frameworks to ensure the security and integrity of your AI-powered solutions.

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We’ve only just begun to realize the power of applying generative AI to security, but organizations using Gemini are already seeing improvement in how they manage complex security incidents. Learn how generative AI from Google Cloud can help seasoned security professionals quickly discover, investigate, and respond to threats, and help newcomers boost their skills to get more things done, faster. Join this session to learn about new features, hear from customers, and gain insights on how to address common security challenges with AI.

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Generative AI is rapidly growing in business and the popular imagination. Google Cloud was at the forefront of this revolution with the introduction of the Transformer architecture in 2017 and more recently, with the release of Gemini models. This session introduces JAX, a powerful framework and ecosystem for large model development, which we use to develop our Gemini models, and Keras - an easy to use higher level API for deep learning and gen AI.

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Join McKinsey to learn how we can leverage our accelerator for rapid development of enterprise GenAI applications. In this session, we will explore strategies to overcome technical and operational challenges that enterprises encounter during the implementation of GenAI applications. Additionally, we will delve into the process of transitioning beyond the initial proof of concept stage. 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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Learn how to deploy your first summarization Gen AI application easily with new Jump Start Solution in 7 minutes. Then we will show how to customize your deployment (e.g. change prompt to auto customer compliant reply) with terraform in order to achieve Gen AI application Infrastructure as Code for better automation, security, efficiency, reliability, consistency and speed to market.

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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 this session, Fortinet and Google Cloud will jointly present on how Fortinet's AI-powered security solution integrated with Google Cloud's native security services can help organizations make better informed decisions, rapidly respond to threats, and save time on even the most complex tasks. 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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Uncover the power of Gen AI in simplifying the daunting task of application and database modernization. From enhancing developer productivity to facilitating seamless migrations, this session offers a deep dive into real-world transformations powered by AI. Join us for an engaging demonstration on elevating your modernization journey with Gen AI. 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 presentation explores deploying retrieval augmented generation (RAG) on Vertex AI Search to enhance QAD's internal data search (Jira, Confluence, Google Sites). Discover how GenAI improves query responses, utilizing a user-friendly web app on Google App Engine to counteract the loss of institutional knowledge. Join us for insights into this innovative enterprise search solution. 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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