Unlock the power of retrieval-augmented-generation (RAG) for generative AI apps with Vertex AI app builder platform. Vertex AI Vector Search powers blazingly fast embeddings retrieval for your search, recommendations, ad serving, and other gen AI applications. Multimodal embeddings scale your search across text, images, and other modalities. Customize your RAG pipeline with document understanding capabilities. With comprehensive offerings, Vertex AI makes building robust RAG systems easy.

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Workflows is a versatile service for orchestrating and automating microservices, business processes, data, and ML pipelines, including generative AI calls. Explore the benefits of using Workflows to orchestrate generative AI calls to Vertex AI. Dive into a demo showcasing how you can effortlessly orchestrate and parallelize generative AI calls, creating a map-reduce style workflow for summarizing large amounts of text.

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More generative AI models are built on PyTorch than on any other framework. We partner with Lightricks to share how PyTorch/XLA offers a performant, automatic compiler experience with all the ease-of-use and ecosystem benefits of PyTorch. Learn from Hugging Face as they share more about the latest features that improve PyTorch/XLA performance and usability on GPUs and TPUs.

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The GenAI landscape is evolving fast. But as it matures, we're seeing more obstacles. The scaling challenges with web apps are soon to be felt by the new wave of GenAI apps. Learn how you can go beyond vector search with trusted Redis use cases like caching and session management to avoid these challenges with your GenAI apps. 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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Join us to learn how Generative AI is revolutionizing financial services. Hear how Flybits has found success developing unique AI use cases for financial organizations, how V7 Labs has integrated Gemini Pro into their LLM product and how Bud is using LLMs to drive hyper-personalization in banking.

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Discover how low-code automation development and generative AI can work together to optimize business workflows. In this lab, we’ll equip attendees to rapidly automate business processes and use the Automation Success Platform to combine automation, AI, and other technologies to optimize workflows. Attendees will leave not only with new skills but inspiration about automation's immense potential.

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Join our GenAI experts for a 2-hour informative hands-on lab featuring advanced Google Gemini tips and tricks. Learn how to integrate Gemini advanced embedding techniques to improve search and question-answering systems. This session will include live demos and hands-on activities.

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As generative AI rapidly evolves, companies are increasingly focused on realizing its value in their work and operations. In this session, we’ll showcase three secret ingredients to help accelerate value creation: Personas, Patterns and Controls. Using our gen AI solution enabled by Vertex AI, we’ll show how developing user personas is the first step to success. Secondly, we’ll highlight examples of patterns that drive rapid reusability, consistency and reduced costs. Finally, we’ll demonstrate important governance controls that organizations need.

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Generative AI opens up new ways to build information processing workflows, search capabilities, and enterprise applications. This session introduces a suite of new Vertex APIs that are purpose-built to accelerate building your apps. We will cover common patterns like understanding complex documents, extracting and retrieving the most relevant information, and creating high-quality gen AI experiences grounded in your first and third-party data sources.

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The world of generative AI brings with it both opportunities and perils. In this session, learn from Google Cloud responsible AI and product teams on what features, tools, strategies, and approaches are available to customers on Vertex AI to build trustworthy AI that works for everyone. The session will cover both text and image modalities.

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Generative AI is a fundamental shift in how business operate, and analytics ISVs (independent software vendors) are at the forefront of that shift. Join this session to: - Learn how ISVs that are built with BigQuery are using gen AI to solve complex business problems and create new opportunities. - Explore real-world success stories where businesses are achieving significant results - Gain insights into emerging trends and challenges, and potential for your business

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Join our technical session delving into the innovative world of vector search and its pivotal role in generative AI app development. We’ll showcase the latest breakthroughs in query algorithms that leverage research insights from a decade of building vector search at Google scale. We’ll provide an in-depth exploration of the latest algorithms for vector search on AlloyDB and offer a glimpse into the future. Enterprise data is the key to gen AI and in this session we'll help you understand how to achieve the scale needed for critical workloads.

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Learn how you can improve performance, reliability, and efficiency with infrastructure optimized for all your workloads including AI. We’ll highlight new product innovations for our highly optimized systems, like AI Hypercomputer, meaningfully combine compute, storage, networking infrastructure, Titanium offloads, open software, and new consumption models. Plus see how generative AI assistance makes infrastructure design, operation, and optimization easier than ever.

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Explore the transformative power of Generative AI with Databricks on Google Cloud. Learn to integrate and leverage governed, sensitive data for real-world problem-solving, from advanced RAG applications to traditional challenges. With 88% of enterprises investing in Generative AI, discover how to swiftly develop and deploy tailored solutions, which could include Q&A bots and custom models. Gain insights from a customer’s experience and propel your organization into the forefront of AI innovation. 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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Join us in a pitch session with Google Cloud customers from Latin America, using Google Cloud GenAI solutions to solve for their most pressing business challenges. From media outlets and major banks in Brazil, to start-ups from the Retail industry, watch 3 customers pitch the GenAI solutions they've come up with after participating in workshops and hackathons with our Google Cloud Brazil teams. Each customer's pitch will take 7 minutes and will include technical demos to walk the audience through each case study.

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Getting started with Vector Embeddings with AlloyDB AI. In this codelab you will learn how to use AlloyDB AI by combining vector search with Vertex AI embeddings. We will go step by step loading data to the new created AlloyDB database, enable necesary extensions and testing vector search in combination with other data passing results to the Gen AI text model to make the answer relevat and combined with real data from the database.

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The data landscape is evolving rapidly, with generative AI poised to revolutionize insight generation and data culture. Join experts from Databricks, MongoDB, Confluent, and Dataiku for an exclusive executive discussion on harnessing gen AI's transformative potential. We'll explore how to break down multicloud data silos, empowering informed decision-making and unlocking your data's full value with gen AI. Discover strategies for integrating gen AI, addressing challenges, and building a future-proof, innovation-driven data culture.

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In the face of unprecedented technological change and security threats, TD is unlocking business velocity through cloud transformation. Expecting more from its cloud provider, Google Cloud’s shared fate model has helped TD accelerate its transformation with peace of mind. Learn how TD is building out a next-generation computer, data, and generative AI platform designed to expand its business capabilities, create a next generation user experience, drive innovation, and enhance the bank’s security posture.

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TCS will share our perspective on the role of responsible AI. We will provide an overview of how to infuse Responsible AI principles into the AI lifecycle to design, build and deploy responsible, ethical, and trustworthy AI. We will explore our offerings, combined with the power of Google Cloud’s tools. 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 the way organizations work, but successful deployment requires thoughtful architecture and design. Come and learn how Onix has helped several customers across different industries seamlessly integrate Gen AI solutions across Google Workspace and Google Cloud, achieving significant business and technical value for those organizations.

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As organizations look to embrace generative AI for their new digital experiences, they need industry-leading data & AI solutions. Join this interactive panel discussion with Manhattan Associates and Accenture to learn how they selected Google Cloud as their transformation partner. You will also hear how these organizations are building next-gen applications leveraging Google Cloud’s data & AI solutions.

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Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI development, performance optimization with caching, essential observability strategies, and more.

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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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Gemini in Looker has made the most complex data actions simple, letting you chat with your business data. The latest advancements in Google's business intelligence (BI) suite bring insights to your users and customers, and form the basis of your own data-driven applications. This session will show you how we are building the future of BI with AI at the center, and keeping our focus on an open ecosystem that enables you to bring all your important data and share it with your teams – all driven by generative AI.

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