Ford Motor Company has leveraged Cloud Run as its first-choice platform for its Google Cloud migration. By taking advantage of the Cloud Run serverless container platform, Ford’s migration of thousands of services has improved developer productivity, application scalability, and operational efficiency. In this talk, we’ll discuss the how, the why, and the results of Ford's massive replatforming to Google Cloud with Cloud Run.

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.

This in-depth technical session delves into real-world use cases, and design patterns for building generative AI applications using Google Cloud Databases, Vertex AI, and popular open-source orchestration frameworks such as LangChain. We’ll showcase a sample application that leverages the versatility of Google Cloud Databases to implement dynamic grounding using various RAG techniques, giving you valuable insights on implementing enterprise-grade gen AI solutions.

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 from data and AI thought leaders on this panel as they discuss how generative AI has shaped their outlook and approach to data governance. Learn from them as they talk candidly about building a data governance strategy, what they’ve learned so far, and how Google Cloud has helped them.

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.

Block storage is the foundation for cloud workloads, but ensuring your infrastructure is optimized and protected can be challenging. Explore how Google Cloud Hyperdisk makes efficiency, optimization, and protection easy on any workload, including data analytics, database management systems, and AI/ML.

Learn to use Hyperdisk to:
- Optimize the total cost of ownership of your enterprise workloads - Achieve near-zero recovery point objective/recovery time objective - Accelerate AI inference workloads and maximize GPU efficiency

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.

Enterprise and regulated customers must deploy their workloads and data in a compliant environment and prove to their leadership and regulators that their applications meet compliance controls using sufficient proof. Providing compliance can be an arduous task with significant adhoc engineering investments to understand the controls that need to be included, gather evidence, generate reports, etc. Learn how to reduce toil for your compliance and audit teams by automating the complete understanding of customer responsibilities vs communication service providers' (CSP) responsibilities of compliance enforcement, selection of controls, audit assessments, and gathering evidence.

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.

Explore how the innovative combination of Google Cloud, Unity's real-time 3D tech, and Capgemini Engineering and Insurance create an industry-first property care capability. Discover how our Google Smart Home and Intelligent Property solutions empower both insurers and businesses to embrace new risks, realize organic growth, elevate customer engagement, and augment property care and maintenance. Immerse yourself in the profound impact of Capgemini's integration of Google Cloud's services with Unity's interactive capabilities to redefine the insurance landscape. Join us as we transform insurance through collaboration, integration, and innovation - setting a new standard in the industry. Please note: seating is limited and on a first-come, first served basis; standing areas are available. 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.

Today's applications are built using containers, and Kubernetes has become the de facto standard for running containerized workloads. Google Kubernetes Engine (GKE) is the most automated, scalable, and fully managed Kubernetes platform run by the largest contributor to Kubernetes. Join this session to learn how GKE simplifies compute orchestration, provides cost-optimized autoscaling and reduces Day 2 operations, allowing you to focus on building and running your application workloads while Google Cloud manages your infrastructure.

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 common architecture patterns that customers use with Memorystore to supercharge their most demanding use-cases such as caching, generative AI, leaderboards, real-time analytics, and others. We'll also dive into how Memorystore’s readily available and resilient architecture combined with its zero-downtime scalability provides 99.99% uptime and submillisecond performance.

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.

Application development needs are growing to keep pace with evolving businesses. Developers are familiar with multiple languages, front-end frameworks, platform technologies, and more. In this workshop, learn how Gemini is re-imagining the developer experience to enable you to stay in flow, context-switch less, and get code to production faster. If you’re not talking about AI Assistance - your competitor is. Gemini is one of the biggest door openers in 2024. Don't forget to bring your laptop! It's recommended to have Visual Studio Code and Flutter installed prior to this workshop.

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.

API attacks are on the rise, threatening your applications and sensitive data. Apigee's Advanced API Security helps detect API abuses with machine learning models training on a corpus of traffic from Google’s services like YouTube. Join us in this session to learn how Apigee customizes these models for each customer to improve precision in detecting malicious activity.

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.

Web Security Scanner identifies security vulnerabilities in your App Engine, Google Kubernetes Engine (GKE), and Compute Engine web applications. This service crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible. It can automatically scan and detect four common vulnerabilities, including cross-site-scripting (XSS), flash injection, mixed content (HTTP in HTTPS), and outdated/insecure libraries. In this spotlight lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.

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.

Move past simple automation and unlock the true potential of generative AI to transform the core industry value chain processes like product development, supply chain optimization, and hyper-personalized marketing. Dive into real-world case studies, engage with live demos, and participate in dynamic discussions. Gain actionable insights and a strategic roadmap to leverage generative AI's disruptive potential for competitive advantage. Don't just automate. Redefine and transform your industry value chains with us. 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.

Generative AI is transforming business processes, reducing the time spent on operational and administrative tasks. Discover how to reduce operational costs, streamline workflows, and unlock new levels of efficiency through automation with Orby and Automation Anywhere. 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.

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.

Gain insight into building domain-specific GenAI applications for the enterprise through the lens of the legal use case. Discover essential components of a comprehensive LLM ecosystem and operational model, and strategies for delivering relevant, accurate outputs with safe and ethical guardrails. Hear from PwC's Vince DiMascio on the real-world insights from a venture capital firm's successful legal GenAI implementation Don't miss this opportunity - discover the power of GenAI. 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.

Dive into Priceline's collaborative journey with Google Cloud to harness the potential of generative AI in reshaping the travel industry. This session offers an insider look into the challenges, achievements, and the transformative impact of AI on travel services. Learn about the coordinated efforts across teams that have propelled Priceline to the forefront of travel innovation. 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.

In this mini course, you will explore Vertex AI Conversation. Vertex AI Conversation is a set of generative conversational features built on Dialogflow and Vertex AI. With these features, you can now use large language models (LLMs) to parse and comprehend content, generate agent responses, and control conversation flow. You will explore these features and create your own data store agent in a hands-on lab experience.

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.

Understand the critical need for ethical, reliable, and successful AI systems. You will leave this session understanding: how to think about RAI in the design and development process and how to weave it into the testing and training of development.

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.

BigQuery Studio and BigFrames are a powerful combination for scalable data science and analytics. Unify data management, analysis, and collaboration with BigQuery Studio’s intuitive interface. Scale data science and machine learning with BigFrames’ powerful Python API. Get deeper insights, faster.

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.

This session will detail the process of architecting enterprise-grade big data pipelines, encompassing the orchestration of Ephemeral Dataproc clusters, customization through custom images and the strategic incorporation of GPU resources. Real-world use cases, best practices, challenges, and future trends in this domain will also be discussed, providing actionable insights for implementing cutting-edge big data solutions.

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.