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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In this session, we’ll describe how public and private sector organizations meet increasing demand for digital sovereignty requirements in the cloud, applying controls like data residency, encryption key management, and personnel restrictions.

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Join a groundbreaking panel of women leaders in data science and engineering as they unveil actionable strategies for building trustworthy and responsible AI. Dive into the power of diverse data, unmask hidden biases, and discover how these changemakers are shaping a future where technology serves all.

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Prioritizing a culture of learning became Ford's recipe for cloud success. Partnering with Google Cloud, Ford trained over 16,000 employees, accelerating deployments, slashing technical debt, and unlocking AI's potential for a software-first future. Learn how Ford built an "army of problem solvers" and democratized data to drive innovation in the age of AI.

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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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At Google I/O last year, we announced several new AI Firebase Extensions using the PaLM API. This year, we’ve added support for Google's latest Gemini models. Easily add a chatbot, text summarizer, content generator, vector database pipeline, and more to your app without learning new APIs. In this session, get an end-to-end view of how you can use Firebase and Gemini to create an enterprise-ready customer support app. Build many apps with the powerful combo of Gemini's multimodal features and Firebase's convenient suite of developer tools.

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As machine learning (ML) systems continue to evolve, the ability to scale complex ML workloads becomes crucial. Scalability can be considered along two dimensions: expansive training of large language models (LLMs) and intricate distribution of reinforcement learning (RL) systems. Each has its own set of challenges, from computational demands of LLMs to complex synchronization in distributed RL.

This session explores the integration of Ray, Google Kubernetes Engine (GKE) and ML accelerators like tensor processing units (TPUs) as a powerful combination to develop advanced ML systems at scale. We discuss Ray and its scalable APIs, its mature integration with GKE and ML accelerators, and demonstrate how it has been used for LLMs and re-implementing the powerful RL algorithm, Muzero.

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Learn the steps to create custom solutions and leave with exciting ideas to supercharge your web app with ML. This is a browser-based learning experience.

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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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Simplify and automate Application Programming Interface (API) development and integration with Gemini. Design and build APIs faster, connect any application, and reduce errors with AI-powered insights.

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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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Explore the orchestration of Google Cloud technologies behind the AI Penalty Challenge. Discover how Gemini's language capabilities on Vertex AI, Firestore's data management, Android's device integration, and the power of Google Cloud work in unison. Learn problem-solving strategies for building scalable, AI-powered experiences.

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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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In this session, Myle Ott, the Founding Researcher at Character.AI, will talk about how Character.AI is building a full-stack AI computing platform that empowers users to personalize their experience. Join us to learn how Character.AI is continuing to drive innovation to create more intelligent, responsive, and human-like AI systems.

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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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