This lecture delves into the evolution from LLMOps to GenOps, showcasing how the GenOps solution revolutionizes Generative AI with its cutting-edge security and governance framework powered by Google Cloud. It highlights the necessity of continuous security throughout the AI lifecycle and the strategic integration of ethical guidelines and compliance measures, ensuring safe, compliant, and efficient AI operations. 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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Discover the key lessons and strategies behind Deutsche Bank's successful cloud transformation in a highly regulated environment. Learn how Deutsche Bank navigated regulatory challenges, built a secure cloud foundation, and how they are unlocking the power of data, AI, ML, and GenAI. Gain insights into how Google Cloud Consulting collaborated with Deutsche Bank to drive success. This session is ideal for IT leaders and decision-makers in regulated industries seeking to embark on transformation cloud journeys. 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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In the era of multimodal generative AI, a unified governance-focused data platform powered by Gemini becomes paramount. Join this session to learn how BigQuery fuels your data and AI lifecycle from training to inference, by unifying structured and unstructured data such as text, images and audio, while encompassing security and governance. Learn how Priceline is using BigQuery and Vertex AI to reinvent customer experiences and lead the industry in data and AI innovation.

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Join us to learn how to activate the full potential of your data with AI in BigQuery. Take an in-depth look at how BigQuery's core integration with generative AI models like Gemini, coupled with its petabyte-scale analytics capabilities, enables new possibilities for gaining insights from your data. Learn how to derive insights from your untapped and unstructured data such as images, documents, and audio files, and explore BigQuery vector search and multi-modal embeddings, all powered by Google's industry-leading AI capabilities in BigQuery using simple Cloud SQL queries. You will also learn how Unilever is creating a data strategy that allows data teams to scale efficiently and rapidly experiment with AI models and gen AI use cases.

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Digital transformation startup, ClearObject, is leading the way in helping organizations unlock the value of generative AI by creating custom applications for a variety of industries, from Financial Services, Manufacturing, Food and Beverage, and Education. In this lightning talk, you’ll hear how ClearObject goes from ideation to customer value, exploring the complete lifecycle of generative AI product development with real-world examples using Vertex AI, Google Cloud, and Workspace apps.

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This interactive Q&A session provides a unique opportunity to engage with the minds behind GenAI innovations in marketing and website modernization. Directly converse with the creators and client teams who are using these solutions to drive significant business outcomes, offering insights into practical applications and success stories. 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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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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Generative AI offers the opportunity to transform the manufacturing and automotive industries. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency. The session will also feature customer success stories and a discussion with organizations at the forefront of generative AI use.

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Learn to connect large language models (LLMs) to real-world data and external knowledge sources with LangChain's open-source capabilities integrated with Vertex AI. Explore use cases such as natural language queries for interacting with Cloud SQL databases, complex workflow automation using Gemini function calling, interactive data-mapping and analysis, and enhanced chatbots using real-time data and tool integrations. Harness LangChain's flexibility with Gemini in Vertex AI's reasoning engine to unlock the true potential of generative AI and push boundaries.

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In this session, Gemini leads will cover the tips, tricks, insights and lessons learned from helping over 30-plus teams at Google Cloud build world-class developer productivity tools using generative AI. Session highlights include: the "secret sauce" behind GenAI Chat for both IDE and Cloud Console experiences; hidden “gotchas” behind code completion and generation experiences for over 21 languages; how developer teams have to change their processes when adding nondeterministic technology to their stack, and much more.

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Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges. Join experts from Google Cloud and Two Sigma for an exploration of Vertex AI's text and multimodal embedding capabilities. These models drive innovation across different industries and use cases.

Two Sigma and Google Cloud draw on previous work to review their derivation of a framework for objectively evaluating embedding models, then the application of this framework against a textual similarity task using the Massive Text Embedding Benchmark (MTEB).

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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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Learn how to talk to your data, and unlock insights with greater ease with Gen AI-powered Search and Conversation. See how Workday is putting natural language to work using Vertex AI to make it more accessible to extract insights for technical and non-technical users. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join experts from Box, Typeface, Glean, CitiBank, and Securiti AI for actionable tips to effectively implement AI-powered apps across your enterprise. We'll discuss real use cases, implementation best practices, and how to measure returns on investment — whether that's in marketing, financial services, HR, or beyond.

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Discover how approachable and versatile building custom generative AI solutions for Google Workspace can be with Google Apps Script. In this session, we‘ll explore how developers are creating innovative integrations between Gemini‘s powerful large language models and Google Workspace. Get real-world examples of how AI can enhance Google Workspace functionality, and learn about the potential of custom solutions to address unique needs. Get ready to be inspired – the evolution of leveraging AI within Google Workspace is just beginning.

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The application of generative AI is revolutionizing conversational customer engagements across multiple touchpoints. In this session, learn about the innovative work at UberEats, showcasing how gen AI can enhance end-user experiences and drive personalization. The session will cover utilization of large language models to reimagine food ordering and addressing conversational shopping challenges in real time using search grounding, fine-tuning, and distillation.

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The emergence of foundation models and generative AI has introduced a new era for building AI systems. Selecting the right model from a range of architectures and sizes, curating data, engineering optimal prompts, tuning models for specific tasks, grounding model outputs in real-world data, optimizing hardware – these are just a few of the novel challenges that large models introduce. Delve into the fundamental tenets of MLOps, the necessary adaptations required for generative AI, and capabilities within Vertex AI to support this new workflow.

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Accessing mission-critical data in a nonintrusive fashion will be critical for enabling operational analytics, and with the evolution of generative AI, enterprises are building RAG-based gen AI applications that require access to operational data. Datastream is a simple, serverless data-streaming platform that organizes the ingesting, processing, and analyzing operational data to support AI/ML and RAG apps. Experts from RocketMoney and Intuit Mailchimp will share how they’re using Datastream to solve for Operational Analytics and beyond.

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Discover how Mercado Libre and Grupo Boticario utilize gen AI to transform their respective industries, enhancing product and content discovery. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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As generative AI applications mature, retrieval-augmented generation (RAG) has become popular for improving large language model-based apps. We expect teams to move beyond basic RAG to autonomous agents and generative loops. We'll set up a Weaviate vector database on Google Kubernetes Engine (GKE) and Gemini to showcase generative feedback loops.

After this session, a Google Cloud GKE user should be able to: - Deploy Weaviate open source on GKE - Set up a pipeline to ingest data from the Cloud Storage bucket - Query, RAG, and enhance the responses

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