Join this session to explore the latest advancements in AppSheet, the no-code platform that empowers anyone to build and automate custom applications for Workspace. Discover how AI is driving innovation, enabling assisted app development, automated insights, smart workflows, and enhanced AI-powered features. Whether you're a seasoned developer or a business user, this session will equip you with the knowledge and tools to unlock the full potential of AppSheet and build powerful, intelligent apps. Don't miss out on this opportunity!

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Growth through data monetization is being driven by recent developments in two macro industry trends: data sharing and AI. Join this session to: - Explore these trends, the technology, and the business innovation behind them - Get real-world insights from leading data providers that are built with BigQuery - Leave with actionable best practices to monetize your own data

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Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today. 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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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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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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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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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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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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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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Do you want to know your options for running Java on Google Cloud? We’ll explore various options for running workloads written using the latest Java and Jakarta EE versions on serverless offerings like Google App Engine and Google Cloud Run. Furthermore, we'll look at optimizing your run time performance using various frameworks.

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Workflows is a versatile service for orchestrating and automating microservices, business processes, data, and ML pipelines, including generative AI calls. Explore the benefits of using Workflows to orchestrate generative AI calls to Vertex AI. Dive into a demo showcasing how you can effortlessly orchestrate and parallelize generative AI calls, creating a map-reduce style workflow for summarizing large amounts of text.

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This session will provide an overview of designing VPC connectivity for segmenting sensitive applications for security and compliance reasons in Google Cloud. In particular this session covers how this can be achieved with distributed applications with a global use base and scenarios that leverage Cross Cloud Network (CCN). The session will be co-presented with a major global financial technology customer, a leader in the industry when it comes to building such distributed applications. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Applications of all types continue to be born and migrated to the cloud. Managing and troubleshooting applications in these environments benefits from continuous improvements in both tools and techniques. But with these tools come growing complexity and volumes of information, alongside increased expectations for rapid resolution. In this session we review how to best combine modern operations on Google Cloud with AI assistance along the way provided by Gemini. Understand how AI helps you focus your effort where it can be most effective.

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Join us to learn how Generative AI is revolutionizing financial services. Hear how Flybits has found success developing unique AI use cases for financial organizations, how V7 Labs has integrated Gemini Pro into their LLM product and how Bud is using LLMs to drive hyper-personalization in banking.

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