How generative AI and geospatial data is being applied by the world's leading organizations to help prepare for the new regulation changes. With enhanced supply chain transparency, we are using AI to make complex geospatial data understood by consumers so they can make more informed decisions on the environmental impact of their purchases. Learn how Earth Engine can be leveraged for businesses that need to verify claims of zero deforestation across their global supply chain.

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Learn how Stagwell, a global marketing group of over 50 agencies in more than 34 countries, is transforming its business on Google Cloud with SADA. Follow their business transformation journey as they fully embrace AI and evolve the world of marketing by bringing clients and marketers together with co-operated SaaS solutions.

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 can transform customer service, enhance employee productivity, automate business processes, and more. And by using Serverless, Google Cloud's “pay-as-you-go” compute platform to provide these experiences, you can focus on what's core to your business and leave the autoscaling to Google. In this talk, you'll learn how to run Google Cloud generative AI tools on Serverless, including how to use the Vertex AI Gemini API, how to use function calling to supplement a gen AI model with Serverless endpoints, and more.

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It can be challenging to know where and how to start building with Generative AI. Join this introductory workshop to learn about the tools and techniques needs to get started building with foundation models. We show you how to experiment with Gemini in the Cloud console and evaluate the performance of Gemini for your specific use case.

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Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models. In this spotlight lab, you will learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to interact with the Gemini Pro (gemini-pro) model and the Gemini Pro Vision (gemini-pro-vision) model.

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After this session, customers will be able to: Quickly and easily train and fine-tune production AI models. Use their data and own their model. Train in the cloud or on-premises, pain-free.

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Coinbase is partnering with Google Cloud to propel their company to the forefront of AI innovation. Coinbase is poised to implement dozens of GenAI use cases this year, to augment the journeys of its employees and customers. As GenAI technology continues to evolve, Google's Model Garden offers Coinbase the flexibility to seamlessly integrate fundamental models like Gemini alongside third-party ones, empowering both their business and users. Join us to find out how VertexAI is helping Coinbase revolutionize the crypto industry, unlocking new possibilities and redefining the future of finance.

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Harnessing trends like Gen AI can unlock new opportunities, but many organizations are unable to activate their data due to fragmented data systems for analytics, AI, and ML which do not work together and slow innovation. Your data needs AI, and your AI needs data; requiring organizations to fine-tune models and ensure they are grounded in business reality using their own enterprise data. Join this session to learn and discuss the latest data and AI trends and gain practical approaches to ensure your data platform is AI-ready.

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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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Generative AI offers the opportunity to transform the healthcare and life sciences industries. It can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market. This session will feature specific use cases, customer success stories and a discussion with healthcare and life science organizations using generative AI to solve some of the industry’s most pressing issues.

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Without data maturity, the transformative powers of new analytics and generative AI tools will be limited. Deeply understanding your data can directly influence a learner’s performance and engagement. In this session, we'll discuss how a unified data strategy can unlock real-time predictive insights in education while future-proofing your company data assets.

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Working with the agility and flexibility of a digital native or a big tech innovator can feel like an impossible mountain to climb for traditional enterprises. But empowering your teams with the right tools, like generative AI, can make this vision a reality. Join this session to learn how your organization can adopt a more collaborative mindset and begin to identify your road map to embracing generative AI. Hear from two customers who have embarked on their journey of a new way to work and glean insights from their lessons learned in adopting Gemini AI in Google Workspace.

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Sonatype’s State of Software Supply Chain report recorded a 650% year-over-year increase in software supply chain attacks in 2021. With increasing security breaches classified as software supply chain attacks over the last few years, it’s vital to keep your software supply chain secure. Join this discussion with Google Cloud and executives from industry-leading independent software vendors in the Developer tools ecosystem. They’ll cover what's trending at the intersection of DevOps, Security, and generative AI and understand best practices to secure your software delivery by building an AI-powered end-to-end secure software supply chain.

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Explore your Looker data with natural language. This session dives into our open-source generative AI Looker extension, powered by Vertex AI large language models (LLM). Learn how to: - Ask questions using natural language: Explore data and gain insights intuitively - Deploy and manage: Understand the extension's architecture and set it up for your needs - Customize the extension: Change prompts if needed, give more examples, or fine-tune the LLM model for tailored results

Unleash the power of generative AI for data-driven decision making.

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Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

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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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