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Company

Google Cloud

Speakers

1577

Activities

1229

Speakers from Google Cloud

Talks & appearances

1229 activities from Google Cloud speakers

event
Julio Velazquez (MD, Google Cloud) , Sandra Guazzotti (Managing Director, Multi-Country Sales, Latam) , Eduardo Lopez (President) , Ricardo Fernandes (Brazil Country Leader, Managing Director, Google Cloud)

Join peers and Google Cloud executives from LATAM, network and meet new friends while sharing an enjoyable evening. We will kick off the week with drinks and nibbles at Moorea Beach. Space is limited for this invite-only / non-transferable event. Register below ASAP.

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 live workshop, you will learn how to deploy a Kubernetes cluster on Google Cloud and run containerized applications on the cluster. We will guide you through the Pulumi platform with diagrams and a series of labs to help accelerate your cloud projects.

In this session, experts from Pulumi and Google Cloud will show you how to stand up networking and cluster components GKE Autopilot, configure CI/CD pipelines, and run an application that leverages multiple Google Cloud resources. We'll use Go programming language.

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Denis Serenyi (Distinguished Software Engineer) , Kamelia Aryafar (Engineering Director) , Sachin Gupta (VP & GM, Infrastructure and Solutions Group)

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

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.

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.

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Chelsie Czop (Senior Product Manager, Google Cloud AI Infrastructure) , Newfel Harrat (Engineering Director)

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

APIs dominate the web, accounting for the majority of all internet traffic. And more AI means more APIs, because they act as an important mechanism to move data into and out of AI applications, AI agents, and large language models (LLMs). So how can you make sure all of these APIs are secure? In this session, we’ll take you through OWASP’s top 10 API and LLM security risks, and show you how to mitigate these risks using Google Cloud’s security portfolio, including Apigee, Model Armor, Cloud Armor, Google Security Operations, and Security Command Center.

Empower your organization to achieve greater efficiency and solve critical business challenges with Google AppSheet's innovative no-code platform. This exclusive panel features industry leaders who achieved remarkable results by using AppSheet to streamline workflows and empower their teams. Learn first-hand their inspiring journeys, gain practical tips, and unlock the full potential of AppSheet to drive growth and innovation within your own organization.

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
Michael Kilberry (Head of Product - AI/ML, Data Analytics) , Terence Yim (Senior Staff Engineer)

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

session
Michael Kilberry (Head of Product - AI/ML, Data Analytics) , Terence Yim (Senior Staff Engineer)

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

session
Mo Farhat (Group Product Manager, Compute) , Salil Suri (Director, Product Management, Compute)

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.

session
Hamid Asaadi (Software Engineer) , Sara Ford (Senior Developer Relations Engineer) , James Ma (Product Manager)

Join us to discuss serverless computing and event-driven architectures with Cloud Run functions. Learn a quick and secure way to connect services and build event-driven architectures with multiple trigger types (HTTP, Pub/Sub, and Eventarc). And get introduced to Eventarc Advanced, centralized access control to your events with support for cross-project delivery.

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Amit Patel (Director, Outbound Product Management, Databases) , Chris Taylor (VP, Engineering Fellow, Databases)

This session will take a technical look across Google Cloud's operational databases portfolio and a deeper dive into the key patterns and scenarios mapping to each database. We’ll provide you with prescriptive guidance on choosing databases for workload migrations and what selection criteria to factor in to your decision making.

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.

Navigating the complex world of compliance can be daunting. Join us to discover how to simplify your compliance journey on Google Cloud, enabling you to build at scale while meeting stringent industry regulations with ease.

This Session is hosted by a Google Cloud Next Sponsor.Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

session
Erwan Menard (Director (Outbound) Product Management, Cloud AI) , Kanchana Patlolla (Technical Solutions Manager - Gen AI)

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

In this game you will create and manage permissions for Google Cloud resources, run structured queries on BigQuery and Cloud SQL, create several VPC networks and VM instances and test connectivity across networks, and monitor a Google Compute Engine VM instance with Cloud Monitoring.

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.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

Learn how to use Google Cloud Networking to protect your website from DDoS attacks. We'll cover a survey of easy-to-configure products, such as Cloud Armor, Load Balancing, and Cloud CDN, and demonstrate how to protect content anywhere on the web within just a few minutes! These services can help keep your content consistently online in the face of targeted attacks, and also during legitimate traffic surges. We'll also talk about Project Shield, which provides free protection to news, human rights, and elections organizations.

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.