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Topic

GCP

Google Cloud Platform (GCP)

cloud cloud_provider infrastructure services

1670

tagged

Activity Trend

31 peak/qtr
2020-Q1 2026-Q1

Activities

1670 activities · Newest first

Gemini is a contextual real-time assistant baked right into Workspace, one that lets you become a better writer, visual designer, data analyst, and project manager. In this session, discover how Gemini for Google Workspace empowers your teams to build more creative campaigns, maximize follow-through with prospects, and accelerate business opportunities. See real-world use cases showcasing how Gemini automates tasks, boosts efficiency, and frees time to focus on higher value work – driving greater impact, revenue, and returns on investment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Navigate the complexities of security, compliance, and collaboration within the government landscape. This session explores how Google Workspace empowers federal, state, and local agencies to streamline operations while maintaining the highest levels of data protection. Discover strategies to mitigate risks, enhance cross-departmental collaboration, and optimize citizen services all within the secure, compliant, and AI-powered Google Workspace environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Artificial intelligence (AI) solutions are rapidly evolving. With the exciting new developments in both predictive and generative AI, it's a crucial time for data science and ML teams to evaluate platforms for their enterprise needs. This talk provides a roadmap to navigate essential considerations such as model tuning, cost considerations, latency, security, safety, and flexibility. Attendees will gain practical insights to guide their organization's platform selection and understand how Vertex AI addresses those needs.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

If you’re a data engineer, MLOps engineer or procurement officer planning to purchase third-party AI models, you won’t want to miss this. Learn how you can speed assessment, facilitate procurement, and simplify governance of AI models (including generative AI) on Google Cloud Marketplace. Explore how to easily procure and deploy third-party AI models and frameworks to both Vertex AI and Google Kubernetes Engine. Finally, you’ll learn from Anthropic, who dive into how their solution deploys via Marketplace to Vertex AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

session
by Dorothy Amaro (Google Cloud) , Uday Katira (Deloitte Consulting) , Greg Mack (Central Texas Regional Mobility Authority) , Olga Bogdanova (NYS Department of Motor Vehicles)

Join us for a thought-provoking panel discussion exploring how leading government agencies are leveraging AI to improve the lives of their drivers. Discover how the DMV is enhancing resident services with a Vertex AI-powered virtual agent, while the Central Texas Regional Mobility Authority is modernizing transportation operations for a smoother, more efficient journey.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

“Start with One, Invent for Many” is a framework to implement inclusive products, ensuring everyone is represented. To create disruptive solutions, start with each individual’s uniqueness. Once you help a single person, expand to help an entire community.

We’ll share the story of Action Blocks, a google app created to make the Google Assistant accessible to people with cognitive disabilities. This is a story of two brothers helping each other make the world more accessible.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

session
by Steph Hay (Google Cloud) , Parisa Tabriz (Google) , Sunil Potti (Google Cloud) , Kevin Mandia (Mandiant at Google Cloud)

Organizations need powerful security solutions to their most sensitive assets. But the familiar approach of bolting on more security products is unsustainable. Instead, the convergence of key capabilities can reduce complexity, increase productivity, and deliver stronger security outcomes. In this spotlight, leaders from Google and Mandiant will share our insight into the threat landscape and our latest innovations that make Google part of your security team. We’ll demonstrate new Gen AI-driven security capabilities that help prevent threats, eliminate toil, and empower talent. And you’ll hear from leaders who have adopted our solutions to transform their security programs.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Transforming Healthcare Administration with Generative AI: Generative AI can fundamentally transform the healthcare industry’s biggest, most entrenched challenges. The complexity and cost of healthcare administration accounts for 15-30% of total healthcare spending. Join us to discuss how GenAI can streamline healthcare administration by improving medical information processing, reducing manual workloads, improving accuracy, and lowering costs. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Join this session to discover how you can deliver software, faster with GitLab Duo. You will learn more about: - How the power of AI will drive enhancements across your entire software development lifecycle and - The next generation of GitLab Duo By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Learn how Victoria’s Secret & Co. partnered with Google Cloud to integrate Google’s innovation framework into their organizational DNA. Victoria’s Secret & Co. now rapidly develops new features and products using Google Cloud’s AI suite of technology to support its associates and customers alike. In this session we will cover Google’s Innovation Framework, the solutions that started Victoria’s Secret & Co.’s transformative AI journey, and how they continue to build on the momentum of this work to continuously adopt new, AI-first solutions. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Introducing Gemini AI, a revolutionary tool designed to enhance workplace collaboration through AI. This session explores how Gemini AI can act as a coach, inspire creativity, and boost productivity, all while prioritizing data control and security. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Learn how Kyndryl enables businesses to scale with enterprise-grade, responsible AI with a robust data foundation wherever you are on your AI journey. Learn about large language model operations services from Kyndryl and Google Cloud. Find out how Kyndryl is helping multiple clients innovate with Gen AI, to reduce customer service response time from hours to minutes, analyze sentiments, and auto-generate relevant emails. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

The increased adoption of Kubernetes and containerized workloads has brought about security challenges for enterprises. Malware and backdoors can pose significant risks to the underlying infrastructure in a Kubernetes cluster, potentially leading to cyber disasters. To address these challenges, there is a growing trend towards using a single tool to secure all applications running in the cloud, focusing on the shift left approach, while also securing the underlying infrastructure and assets in runtime. In this session, we’ll understand the security risks in Kubernetes and how Prisma Cloud can help solve them with a consolidated platform approach, with time for audience Q&A. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

It's challenging for organizations to navigate a tech transformation whilst keeping an eye on cost optimization and enabling developers to boost productivity levels. In this session Wayfair will speak to their experience doing both. We'll touch on how Wayfair addressed technical debt through legacy code modernization, test case generation, and the automation of repetitive tasks. We'll also unveil how they boosted developer productivity by leveraging Gen AI for code generation, intelligent code completion, code explanations, and documentation generation. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Natural language is an ideal interface for many real time applications such as inventory tracking, patient journey, field sales, and other on-the-go situations. However, these real time applications also require up to date and accurate information, which necessitates a real time RAG architecture. In this session, we will demonstrate how you can build an accurate and up to date real time generative AI application using a combination of Dataflow and graph databases.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this talk, we delve into the complexities of building enterprise AI applications, including customization, evaluation, and inference of large language models (LLMs). We start by outlining the solution design space and presenting a comprehensive LLM evaluation methodology. Then, we review state-of-the-art LLM customization techniques, introduce NVIDIA Inference Microservice (NIM) and a suite of cloud-native NVIDIA NeMo microservices for ease of LLM deployment and operation on Google Kubernetes Engine (GKE). We conclude with a live demo, followed by practical recommendations for enterprises.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this session, we’ll learn how to create an AI-powered game with Gemini and Flutter, à la “choose your own adventure” style. We’ll rely on Gemini to generate our game mechanics, deploy our Dart Frog backend to Google Cloud, and build an engaging UI with Flutter, all with one single programming language: Dart.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

LangChain is the most popular open-source framework for building LLM-based apps. Google Cloud is the easiest place to deploy LangChain apps to production. In this session technical practitioners will learn how to combine LangChain on Cloud Run with Cloud SQL's pgvector for vector storage and Vertex Endpoints to create generative AI applications.

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Building an assistant capable of answering complex, company-specific questions and executing workflows requires first building a powerful Retrieval Augmented Generation (RAG) system. Founding engineer Eddie Zhou explains how Glean built its RAG system on Google Cloud— combining a domain-adapted search engine with dynamic prompts to harness the full capabilities of Gemini's reasoning engine. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Only 1 in 10 organizations are meaningfully adopting generative AI today. Why Most tech stacks run on a labyrinth of applications, making it hard to access data or seamlessly embed AI into a workflow. Join us to learn how Google Cloud's Integration Services help you connect any application, integrate AI capabilities, and automate complex tasks. Learn how Wayfair built reusable, scaled components in a high-visibility workflow using Google's Application Integration, which enabled consistency in service, configurability of workflows, visibility into leads, customers, tasks, assignments, and so on, and made system-wide measurement easy throughout the Wayfair business-to-business sales funnel.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.