AI agents rely on accessible data. ServiceNow's Workflow Data Fabric, an integrated layer unifying business & technology data, powers workflows & AI agents with real-time, secure access to data from any source, including Google Cloud. Discover how these innovations empower employees & customers to tackle complex challenges. 

Explore Workflow Data Fabric & Google Cloud integration 
See AI demos leveraging diverse data in real-time 
Learn how to implement these capabilities in your enterprise.

This Session is hosted by a Google Cloud Next Sponsor.
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Step up to the plate and dive into the world of MLB player analytics! Build a data platform and app that introduces new fans to MLB's stars. You will combine structured and unstructured data like MLB player stats and videos, then visualize and ask your data questions. Take this opportunity to leverage the latest and best of Google Cloud's data tools, like BigQuery for storage and analysis, Looker for data modeling and visualization, and the new Conversational Analytics for natural language queries. What new MLB player insights will you uncover?

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

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.

This session explores Yahoo Mail’s successful implementation of OpenTelemetry within their globally distributed Google Kubernetes Engine (GKE) environment on Google Cloud. Discover how they achieved seamless integration with Google Cloud Observability and established a centralized observability platform for multiple teams. Learn best practices and gain their top tips and tricks for building enterprise-level observability.

Introducing Cloud WAN, a managed global WAN solution unifying enterprise backbone, metro, and SDWANs into a single network with built-in ecosystem and Google Cloud security and connectivity services that offer choice, higher performance, improved security posture, plus global scale while reducing TCO. Learn how to modernize your network with Google Cloud WAN and leverage Google’s global network, leading security portfolio, and comprehensive network services to connect all your offices, workloads, and data efficiently. 

Tired of jumping from tool to tool to bring your organization's ambitious ideas to life? Seeking an AI-powered ecosystem where your team can thrive at every phase of the development journey? We’ve got you covered. Beyond the IDE, GitHub is your personalized end-to-end platform. Join us to learn how to streamline and accelerate your workflows, no matter the enterprise need.

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.

In this session, discover how you can use Anthropic's Claude models on Vertex AI to create innovative solutions. This session offers insights into the AI landscape, its impact on software development, and practical guidance on integrating AI technologies into your workflows. Learn how you can harness the power of AI to stay at the forefront of your industry, whether you’re optimizing existing applications or developing new AI-driven products. We will touch on applications for coding, search, and customer support in particular.

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.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Startups face a tough challenge: scaling rapidly without compromising security. In this panel, discover how Snap navigated its journey from a small startup to a global platform with the help of Google Cloud. Learn how they tackled growth, performance, and security — and gain practical insights and best practices for scaling your own startup securely and successfully.

In this session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

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.

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.

Join Achilles Chalkiotis, North American Head of Digital Engagement at Grid Dynamics, to explore how AI is revolutionizing the retail customer journey. Learn how AI enhances shopping experiences with semantic search, personalized results, dynamic Q&A, and "view in my room" visualization. Discover the future of AI with image-based search, context-aware recommendations, and intelligent assistants. Understand the benefits for customers and retailers, from improved satisfaction to valuable insights.

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.

Generative AI has revolutionized the business landscape, but many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations. Discover how companies are partnering with Google Cloud Consulting to better quantify the business value, understand the total cost of ownership (TCO) of gen AI use cases, and prioritize their AI investments – key lessons that can we learn from the companies leading the AI transformation.

Join leaders from Anthropic and Google Cloud for a fireside chat to explore the essential elements for enterprise AI success in production. We’ll explore real-world production use cases that are utilizing the powerful combination of Anthropic’s Claude models on Vertex AI for fast development and scalable deployments. And we’ll cover topics such as platform flexibility, enterprise readiness, governance, and agentic workflows. Leave with actionable insights to guide your AI strategy and navigate the changing world of intelligent agents.

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

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.

Join us for an insightful discussion with executives from leading companies, as they share their strategies for scaling Gen AI. Discover how these industry leaders are revolutionizing business processes, enhancing customer experiences, and driving innovation. Gain practical insights into Gen AI applications, scaling challenges, and solutions that have led to significant efficiency gains and competitive advantages. Explore future trends in Gen AI, including advancements in machine learning, data integration, and ethical considerations. Don't miss this opportunity to stay ahead and unlock new opportunities for your business.

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.

Speed and flexibility are key benefits of cloud-based application development and deployment. However, unmanaged costs can stifle innovation. This solution talk offers a strategic roadmap to implement FinOps principles throughout your Google Cloud infrastructure and application development lifecycle.

Collaborate with us to explore cost optimization techniques that maintain high performance levels across compute, storage, networking, and database resources. Instill a culture of cost awareness within your app teams to unlock full potential and maximize your ROI.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

Ready to take your Day 2 operations to the next level? This session is your one-stop shop for mastering Day 2 ops in 2025. We’ll cover everything you need to know, such as leveraging observability and AI agents for DevOps use cases, building application-centric observability, and optimizing for cost and utilization on Google Cloud. This roundup session explores a variety of products and updates in the Day 2 space, giving you the tools and knowledge to supercharge your operational efficiency and drive innovation.

Drive the next wave of AI innovation with Google Cloud databases. This Spotlight session explores cutting-edge innovations that enable you to modernize your database estate to quickly build gen AI apps, unify transactional and analytical workloads for real-time insights, and simplify database management with assistive AI. Join us to witness the future of Google Cloud databases, exclusive product announcements, insightful demos, and inspiring customer stories.

The world of data security and privacy is changing. Quantum computing threatens traditional encryption, but you can stay ahead. Learn how to protect your AI and machine learning (ML) models and your sensitive data with cutting-edge techniques and tools like Gemini. This session covers end-to-end privacy, confidential computing with Google Cloud, navigating the post-quantum cryptography (PQC) landscape, the challenges and opportunities of PQC, and how Google Cloud is preparing you for the future.

This hands-on lab equips you with the essential skills to manage and automate your infrastructure using Terraform. Learn to define and provision infrastructure resources across various providers using HashiCorp Configuration Language (HCL). Explore core concepts like resource dependencies and understand how to safely build, change, and destroy infrastructure using Terraform's declarative approach. This hands-on experience will empower you to streamline deployments, enhance consistency, and improve overall infrastructure management efficiency.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!