Leveraging years of experience building internal platforms at Google, this session offers actionable insights for Google Cloud customers on creating effective development ecosystems. Learn how to prioritize safety, efficiency, and reliability through the interplay of platform engineering, feature development, and Site Reliability Engineering (SRE). Whether you’re a seasoned Google Cloud user or new to platform engineering, this talk can help you optimize software delivery, operations, and achieve your business goals.

Even cloud security experts can struggle with application and data compliance. Discover how Security Command Center is simplifying cloud compliance by bringing together configuration, monitoring, and evidence generation. Learn how a unified cloud compliance solution can make it easy to apply prebuilt and custom compliance frameworks, check compliance status with a centralized dashboard, and automatically generate audit reports to prove compliance.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Discover the power of gen AI in boosting developer productivity and innovation. Through in-depth demos, we'll showcase how to use gen AI to enhance developer productivity across the software development lifecycle. You’ll also learn how to easily build production-grade gen AI applications using Google Cloud technologies and your favorite ecosystem tooling. We’ll share the latest releases and features across many of your familiar developer products such as Gemini, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

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Unlock the power of your data with AI using Oracle Database@Google Cloud. Seamlessly lift and shift your Oracle database to Google Cloud and integrate it with BigQuery and Vertex AI for a financial services use case.

Embark on a journey to enhance your Oracle applications by migrating and modernizing them on Google Cloud. This session delves into real-world customer success stories and showcases the latest advancements. Discover best practices for seamless migrations and explore how Google Cloud optimizes performance and scalability for your Oracle applications. Uncover valuable insights from your Oracle databases and app-powered integrations with Google advanced AI, analytics, and monitoring tools.

Team up with an AI agent to compete at this popular board game! Discover how Vertex AI, Memorystore, and Cloud SQL with different models, prompts, and tools can ultimately lead to victory.

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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As a Head of Data or a one-person data team, keeping the lights on for the business while running all things data-related as efficiently as possible is no small feat. This talk will focus on tactics and strategies to manage within and around constraints, including monetary costs, time and resources, and data volumes.

📓 Resources Big Data is Dead: https://motherduck.com/blog/big-data-... Small Data Manifesto: https://motherduck.com/blog/small-dat... Why Small Data?: https://benn.substack.com/p/is-excel-... Small Data SF: https://www.smalldatasf.com/

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Learn how your data team can drive innovation and maximize ROI by embracing constraints, drawing inspiration from SpaceX's revolutionary cost-effective approach. This video challenges the "abundance mindset" prevalent in the modern data stack, where easily scalable cloud data warehouses and a surplus of tools often lead to unmanageable data models and underutilized dashboards. We explore a focused data strategy for extracting maximum value from small data, shifting the paradigm from "more data" to more impact.

To maximize value, data teams must move beyond being order-takers and practice strategic stakeholder management. Discover how to use frameworks like the stakeholder engagement matrix to prioritize high-impact business leaders and align your work with core business goals. This involves speaking the language of business growth models, not technical jargon about data pipelines or orchestration, ensuring your data engineering efforts resonate with key decision-makers and directly contribute to revenue-generating activities.

Embracing constraints is key to innovation and effective data project management. We introduce the Iron Triangle—a fundamental engineering concept balancing scope, cost, and time—as a powerful tool for planning data projects and having transparent conversations with the business. By treating constraints not as limitations but as opportunities, data engineers and analysts can deliver higher-quality data products without succumbing to scope creep or uncontrolled costs.

A critical component of this strategy is understanding the Total Cost of Ownership (TCO), which goes far beyond initial compute costs to include ongoing maintenance, downtime, and the risk of vendor pricing changes. Learn how modern, efficient tools like DuckDB and MotherDuck are designed for cost containment from the ground up, enabling teams to build scalable, cost-effective data platforms. By making the true cost of data requests visible, you can foster accountability and make smarter architectural choices. Ultimately, this guide provides a blueprint for resisting data stack bloat and turning cost and constraints into your greatest assets for innovation.

Join us for an exciting session where experts from Salesforce and Google will discuss their innovative partnership aimed at transforming customer engagement. This collaboration focuses on integrating Salesforce Service Cloud with the Google Customer Engagement Suite to help organizations solve problems faster, improve customer satisfaction, and drive revenue with AI. Discover how Service Cloud, leveraging Google's technology, is building AI-powered contact centers to drive customer success by combining the strengths of humans and agents.

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Boost retail efficiency with AI analytics at the edge. Enable smart inventory, faster transactions, and personalized experiences with Google Distributed Cloud.

Quickly identify and troubleshoot applications with AI-powered insights using Gemini Cloud Assist.

In this session, Fortinet and Google Cloud will jointly present on how Fortinet's AI-powered security solution integrated with Google Cloud's native security services can help organizations make better informed decisions, rapidly respond to threats, and save time on even the most complex tasks. 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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AI applications demand real-time, high-fidelity data at massive scale. Traditional databases can’t keep up. Join us to learn how TiDB Cloud on Azure, a distributed SQL database built for both transactions and analytics, integrates seamlessly with Fabric to unlock new possibilities for AI and agentic workloads. Whether you’re a developer, data architect, or IT leader, you’ll leave with a clear view of how to build intelligent, data-driven applications on Azure that scale with your ambitions.

AI is transforming modern business, and underpinning this revolution is the platform. Platform builders and architects are the unsung heroes who create the foundation that brings AI to life while balancing ongoing modernization and optimization efforts. Learn how containers are helping platform teams accelerate AI initiatives, while driving innovation and stability. We'll dive into topics such as price-performance, cost control, and security to make sure platform builders can harness the true power of AI innovation. Finally, get actionable lessons from Shopify's platform-building journey – learn from their victories and setbacks

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This session explores how Azure Local brings hybrid agility to your infrastructure by combining cloud-native management with the flexibility to run services such as Azure Virtual Desktop and Azure Kubernetes Service on-premises.

We’ll spotlight DataON PLUS solutions, which go beyond the standard Microsoft solution requirements to provide a more complete experience that includes a turnkey Azure Local solution and also deployment, integration, hybrid implementation & lifecycle training service.

AI is transforming software development, but not always for the better. The 2024 DORA report reveals that AI adoption resulted in a 7.2% regression of delivery stability for software, highlighting the industry's overemphasis on velocity. This session will explain how to flip the script on AI’s role in software development, and drive better development and delivery outcomes with new innovations from Google Cloud and beyond, freeing developers to focus on customer value.

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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In this game you will learn to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end, learn to use BigQuery to find data, build a time series model to forecast demand of multiple products using BigQuery ML, and create a basic report in Google Data Studio.

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.