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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Learn about Wells Fargo’s journey to next-generation logging, with focus on the architecture that handles logging at scale for the third-largest U.S. Bank. We'll explore topics such as: architecture supporting infrastructure serving over 70 million customers; multicloud integration across on-premises, software as a service, and public cloud; programmatic and self-service migration of dashboards, alerts, and queries; logging infrastructure as code; sensitive data handling; Gemini accelerating troubleshooting and usability, and much more.

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AI is all the rage these days, but how can you make practical use of it without spending months of time learning this new technology? This session explains how to build an AI-powered content search tool for your own content in an afternoon, with a useful AI development pattern called retrieval augmented generation (RAG). We will demonstrate an updated version of the Docs Agent project that uses the Gemini API.

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Understanding the sensitivity of your most critical data assets allows you to unblock your workloads while reducing security, privacy, and compliance risk. In this session, you’ll learn how Sensitive Data Protection can help you gain awareness of your most critical sensitive data and how you can protect your application, AI, ML, and LLM workloads across the entire lifecycle from data to training to serving.

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Gemini Pro Vision supports multimodal prompts. You can include text, images, and video in your prompt requests and get text or code responses. This spotlight lab focuses on demonstrates a variety of multimodal use cases that Gemini can be used for. This list includes detecting objects in photos, understanding charts and diagrams, comparing images, generating a video description, extracting highlights/messaging of a video and other examples you will explore in a hands-on lab environment.

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In this spotlight lab, you will learn how to use Gemini, an AI-powered collaborator in Google Cloud, to navigate and understand different areas of security in your environment in Security Command Center.

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A day in the life of a Google Cloud developer typically involves the use of multiple Google Cloud products and services. These products enable the developer to develop, test, deploy, and manage applications in the cloud. With assistance from Gemini, a developer can become more productive when using Google Cloud's products by using Gemini's interactive chat, code assistance, and embedded integrations. In this spotlight lab you will explore Gemini in an hands-on lab environment to see the different ways in which Gemini can be used in your development workflows.

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Enabling generative AI powered applications on-premise can be challenging due to the complexity of managing infrastructure, the massive scale of data, and security and compliance. Customers with stringent data residency requirements can now access large language models (LLMs) that can be easily integrated in their applications automating natural language tasks such as transcription, text classification that make their workforce productive, or other application areas such as network mapping.

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This session will highlight new capabilities of Gemini for Google Cloud that allow it to directly integrate with your Google Cloud infrastructure and data to provide highly personalized answers to questions about your cloud environment in real time. We’ll show how Gemini for Google Cloud can help you optimize workloads, observe your infrastructure and applications, and troubleshoot issues by using AI to query your cloud environment and provide tailored insights.

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The advent of Generative AI has ushered in an unprecedented era of innovation, marked by the transformative potential of Large Language Models (LLMs). The immense capabilities of LLMs open up vast possibilities for revolutionizing business ops and customer interactions. However, integrating them into production environments presents unique orchestration challenges. Successful orchestration of LLMs for Retrieval Augmented Generation (RAG) depends on addressing statelessness and providing access to the most relevant, up-to-date information. This session will dive into how to leverage LangChain and Google Cloud Databases to build context-aware applications that harness the power of LLMs. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Modern apps and organizations are highly complex, comprising numerous vendors, products, and ever-evolving solutions. This dynamic environment makes it challenging to operate solely from an infrastructure viewpoint. App Hub addresses this by organizing infrastructure resources into an app-centric view that mirrors your business. In this session, we’ll demo how Gemini and App Hub can help app operators and security admins, use an app-centric approach to quickly obtain holistic context on the state of the system and recent events affecting it.

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Discover the latest innovations within Google's machine learning ecosystem to help you navigate technology to bring ML to any device, website, or app. Uncover the power of generative AI with Gemini. From ideas to accelerated workflows, learn how to leverage Gemini’s capabilities for creative text formats, code generation, and more.

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Web3 offers the promise of decentralized and user-controlled applications, but security remains a persistent challenge. Mysten Labs, a company founded by five ex-Meta tech leads, has been leading the charge in AI-powered blockchain security. They created an internal red team that integrated Google's AI models, Codey and Gemini, and leveraged Vertex AI for continuous threat monitoring, exposing critical software bugs within open-source projects. Working with Google Cloud has helped Mysten Labs drive innovation with continuous security audits, bot detection, and stress testing to detect vulnerabilities before malicious hackers do. Join us to discover how General AI can help you build the next generation of secure Web3 applications and see firsthand some of the most surprising vulnerability findings.

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Learn how Gemini in Google Meet can make your meetings less tiring and more fulfilling. This session will go through a day’s worth of meetings to see how Gemini can enhance your experience in Meet – from helping you look your best, to automatic translations, to taking notes for you – allowing you to work smarter, not harder. Learn from Trellix who will share best practices in switching to Meet and how to improve productivity, save money, and enhance their security posture.

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Discover how Vertex AI Search leverages generative AI including Google Cloud's latest Gemini models to power high quality search experiences grounded in your data. We’ll share how you can increase customer and employee satisfaction with personalized search and recommendations experiences. Learn how Vertex AI Search can help you ground gen AI apps in your data functioning as an information retrieval and answer generation system. Discover the latest product enhancements and discover how customers are transforming search capabilities in the enterprise.

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Gemini in Google Chat unlocks exciting new ways to communicate and collaborate. This session will introduce Gemini in Google Chat along with other new collaboration and messaging features that are making Chat more powerful for teams of any size.

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SAP, Grow, and RISE users, transform your business: Leverage Google Cloud's BigQuery, Cortex Framework, Vertex AI and generative AI to unlock data's potential. See how Pluto7 integrates for a smarter supply chain for better customer experience with better demand-sensing, forecasting, planning inventory, reducing defects and more. Turn your SAP and non-SAP data into action, simplify processes and drive efficiency with gen AI and Gemini. Join us to elevate your business with real-time insights and strategic decision-making.

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NVIDIA AI on Google Cloud provides all the essential tools, frameworks, and models needed to develop and deploy custom models and generative AI applications. This Cloud Talk will share the latest NVIDIA technologies available on Google Cloud to rapidly enable enterprises to take their LLMs and generative AI applications from pilot into production. 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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Creating captivating generative AI analytics demos is easy. But building a product that consistently delivers value and handles real-life data complexity is challenging. In fact, only 3%-10% of companies effectively utilize LLMs for production. Learn how Cox 2M, the commercial IoT division of Cox Communications has become able to make smarter, faster business decisions using one of the few production-ready implementations of generative AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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