The next major leap in software engineering is happening at the intersection of human creativity and artificial intelligence. We’ll explore what’s working, what’s not, and what “good” really looks like when organizations strive to integrate AI into their engineering cultures, workflows, and strategic priorities. From fostering alignment across teams to overcoming governance challenges, this session goes beyond the hype to uncover the lessons learned from early adopters and outline the critical considerations for those just beginning the journey. Insights into how tech organizations are evolving their culture, structure, and SDLC with AI Understand roadblocks to adoption, from technical readiness to talent resistance Align with peers on emerging best practices and success metrics for AI-enhanced engineering

In this session, Andrew Sun, Director of Business Development for Retail Software and Cloud at NVIDIA will discuss the impact of GenAI on the retail market and its specific benefits its bringing to the clothing/sporting goods companies like Puma. In this session, we will also showcase some of the unique GenAI experiences Puma has built while leveraging GPUs on Google Cloud’s platform.

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In this session, Slalom and Bayer AG will discuss how Bayer AG leverages GKE Enterprise, to build an internal developer platform, integrating Anthos features like Config Sync and Service Mesh. You’ll hear how the implementation, automated through Cloud Build and Terraform, empowered Bayer AG to establish robust security and DevOps practices to support its data engineering teams. 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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How do you engineer an analytical system that painstakingly crunches through 72 GB of crop-harvest data every single day? With a little bit of Google magic, of course. At Bayer Crop Science, we redesigned a legacy platform from the ground up to handle the scalability and reliability needs of scientists and agronomists around the world, using Google Cloud services as well as several of its open-source tools. We'll show you how we've built a cost-effective, observable, value-add system that allows Bayer to deliver real human value to the world.

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.

Sam Mitchell - Slalom - Senior Consultant. Sam is going talk through a Power BI report for an internal charity challenge "Tour de Slalom" showcasing the reports, dashboards and visuals.

Slalom shows how enterprises can transform the SDLC by giving GitHub Copilot a “memory bank” of project context, standards, and design rules. Learn how context frameworks, Mermaid diagrams, and MCP servers help Copilot deliver code aligned with enterprise practices. We’ll share real-world results, including how one client boosted code quality and consistency through this approach.