With the growth in the volume and variety of operational data, a company‘s success is contingent on how well it can leverage its databases. But with so many databases to meet the growing demands for data processing, teams can be blindsided by operational issues and inefficiencies. Explore how we harness the power of AI through large language models to provide an AI-driven database assistant. Learn how this unified, intelligent experience simplifies programming, monitoring, optimization, security, and migrations for your entire database estate.

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Go from a cost center to a value driver to a profit center – transform your data team with Looker in 2024. For many small businesses today, data is still viewed as a cost center and operational expense. However with solutions such as BigQuery, Looker, and Gemini in Looker, companies have the ability to transform their data teams into value drivers and direct contributors to the bottom line. But where should you begin?

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Join our experts to learn more about your identity choices with Google Cloud. We will deep-dive into workload identity federation and support for GCE and workforce identity federation for Azure AD, Okta, and other IdPs, secure your environments with access policies like Allow and Deny, and seamlessly use policy intelligence tools for federated identities. We’ll show how you can unlock new use cases, and catch fraud and abuse in your environment. You’ll also learn how L’Oreal uses these features toward their identity-first security platform.

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Join CME Group, TCS, and Google Cloud to learn how a CME Group’s Cloud first approach, coupled with AI, served as the core foundation of the digital strategy to incorporate and accelerate business transformation. This advanced approach enabled applications to be developed, deployed, consumed, and maintained more efficiently –boosting time to market, at reduced costs. 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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Today's customers expect more from digital experiences. Learn how to transform your current website into a hub for customer engagement and AI-powered experiences. With generative AI, there are significant opportunities for enhancing the discoverability of pages and content with website search or conversations, translation and localization of text or images, and incorporating dynamic recommendations tailored to user experiences. Discover how to unlock AI's potential for your website, elevating customer experiences and driving business success.

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Concerned about over-privileged identities with expansive access within your systems? Join us to learn how to enforce the principle of least privilege on your identities. We'll guide you on how to understand identity entitlements and leverage machine learning to fine-tune access. You’ll learn about proactive access management techniques with just-in-time access workflows. As a bonus, you will also learn firsthand insights from Commerzbank regarding their practical application of these strategies to improve their security posture.

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This session will explore HAVI’s transformative shift from a traditional security information and event management (SIEM) solution to a platform that provides threat detection at petabyte scale and millisecond search performance using the Chronicle SecOps Suite. We’ll see how HAVI navigated the complex regulatory environment to set up a system that allowed them to benefit from a fully managed service, and independently addressed scalability and platform flexibility challenges to create a more cost-effective and high-performing solution.

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Imagine running your non-relational workloads at relational consistency and unlimited scale. Yahoo! dared to dream it, and with Google Spanner, it plans to make it a reality. Dive into its modernization plans for the Mail platform, consolidating diverse databases, and unlocking innovation with unprecedented scale. Be part of the conversation and see how Spanner can transform your database landscape.

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We cover the they key principles of building a modern, cloud-first data platform: - A reference architecture for a simple, flexible, modular lake house - A process to select the right point of contact for the job - How to build and organize your team to continue to grow the platform In this session, we discuss not just what to build, but how to build it, and why the topics we cover are important for success.

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Generative AI is driving the next industrial revolution and businesses are racing to use it to improve customer experiences, healthcare, and operations. But to succeed, they need a plan. In this session, we'll highlight practical use cases and challenges of scaling AI in 2024. We'll also show you how NVIDIA DGX Cloud on Google Cloud supports the entire AI app lifecycle, from development to deployment. You'll learn how to speed up the return on investment of AI.

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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Implementing generative AI applications requires large amounts of computation that can seamlessly scale to train, fine-tune, and serve the models. NVIDIA and Google Cloud have partnered to offer a range of GPU options to address this challenge. Using NVIDIA GPUs with Google Kubernetes Engine removes the heavy lifting needed to set up AI deployments, automate orchestration, manage large training clusters, and serve low-latency inference. Join us to see what ElevenLabs has built using NVIDIA GPUs with GKE. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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We all have a role to play in fighting against global warming. You’ll discover the fundamental concepts of different infrastructure design, from legacy to modern serverless hosting. We’ll cover different ways to deploy the same application on these different infrastructures and the key impacts they have on different metrics: duration, cost and CO2. You’ll learn the core concept of serverless services and their advantages. But also how to know the carbon footprint impact of your projects thanks to the carbon footprint dashboard.

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Learn about how to publish your Google Workspace apps and Add-ons in the Google Workspace Marketplace. We’ll share with you details on how to create a marketplace listing, how to configure your app using the Marketplace SDK, and discuss our app review process. We’ll also share some tips and tricks on how to best manage your app listing.

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Implementing generative AI applications with large language models (LLMs), and diffusion models requires large amounts of computation that can seamlessly scale to train, fine-tune, and serve the models. Google Cloud TPUs. Cohere is leveraging the compute-heavy Cloud TPU v4 and v5e to train sophisticated gen AI models that meet the heightened needs of their enterprise users. Check out how Cohere and Cloud TPUs are delivering enterprise-tailored large language models (LLMs) that can help increase business productivity by automating time-consuming and monotonous workflows. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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It is complex and costly to change your selected regions after you set up your production AI workloads. I like to share 7 tips and GCP tools to help you SELECT the RIGHT Region. They include Network Intelligence Center, Cost Estimator, Assured Workload, Simple GCP Region Picker and so on. It will help save cost, reduce latency, be green and ready for growth.

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This session features a new low/no-code editor to go from an idea that could leverage AI into production, faster than ever before. Learn about Visual Blocks, how Google has already used it to successfully speed up production times, and how to make your very own custom nodes to integrate with anything. Learn how to get started productively with Visual Blocks ML. Enable anyone at your company to create or test working AI prototypes fast with an easy web interface by reusing the building blocks defined by Google and your engineering team.

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GitLab and Google Cloud are partnering to deliver a comprehensive, integrated DevSecOps solution that provides best-in-class reliability, efficiency and end-to-end security. In this session you'll learn how you can quickly and securely deploy workloads to Google Cloud using GitLab’s new integrations, which include streamlined IAM configuration, Artifact Registry integration, and optimized GitLab templates and workflows for Google Cloud.

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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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To extract the maximum performance, reliability and security out of every instance from enterprise applications to AI/ML, we built a cutting-edge system of custom silicon, security microcontrollers, and tiered scale-out offloads: Titanium. Titanium already underpins all of our latest compute instances. Join this session to see why Titanium matters, how it works, and how to maximize the benefit in your workloads.

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Learn to design and deploy the Google Cloud global front end to protect, scale, and deliver web experiences from infrastructure running on-cloud or on-premise. Get an overview of the global front end with load balancing, CDN, and web protection including DDoS mitigation. Then move into programmability with service extension callouts and designing for scenarios across clouds and on-premise. We will cover integration into continuous integration/development workflows, show a demo, and learn from a customer about their use case and lessons learned.

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