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Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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761

Google Cloud Next Conference (25)

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Veo Studios: Your imagination, on screen, with Veo, Gemini and Imagen

demo

Turn a sketch or sentence into an AI-generated short film. Veo orchestrates dynamic camera moves, Imagen delivers high-definition visuals, and Gemini refines and edits in real time – bringing your imagination to the big screen.

Vertex AI Model Garden

demo

Step into the Model Garden, a curated collection of 200+ cutting-edge models from Google, our partners, and the open-source community—all readily accessible via Vertex AI. Whether you seek groundbreaking innovation or cost-effective solutions, the Model Garden has the perfect solution and the latest models for your use case.

Volkswagen: Meet myVW, our AI vehicle assistant

demo

Hit the virtual highway with Volkswagen’s myVW virtual assistant and the new ID. Buzz electric bus. Powered by Google AI, the myVW virtual assistant helps drivers get to know their car through multimodal chat integrated with a wealth of VW resources. 

Weather forecasting reimagined: AI and beyond

demo

Explore using WeatherNext AI forecasts via BigQuery and Earth Engine, discover new ways to enhance your apps or products with Google Maps Platform, and learn about weather use cases and solutions.

What’s new in Cloud Run (Recap)

session
John Gill (Wayfair) , Scott Kennedy (Replit) , Steren Giannini (Google Cloud) , Yunong Xiao (Google Cloud)

Developers love Cloud Run, Google Cloud’s serverless runtime. Join this session for a deep dive into new Cloud Run capabilities that make it even simpler to deploy your applications and enable you to deploy new types of workloads, including AI inference. Discover how Cloud Run can power your most demanding workloads with unparalleled efficiency and flexibility.

What's next for Google Cloud databases in the AI era (Recap)

session
Andi Gutmans (Google Cloud) , Jae Sook Evans (Oracle) , Anil Madan (Walmart) , Cat Colman (Google Cloud) , Gabe Weiss (Google Cloud) , Billy Jacobson (Google Cloud)

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.

What​​’s next for security professionals (Recap)

session
H. E. Dr. Mohamed Al Kuwaiti (UAE) , Steph Hay (Google Cloud) , Peter Bailey (Google Cloud) , Sandra Joyce (Google Cloud) , Matt Rowe (Lloyd's of London)

It's time to ditch ineffective, reactive security approaches. The unique synergy between frontline threat intelligence and AI will usher in a new era of preemptive security protection that enables organizations to operate with confidence in the AI era. In this spotlight, leaders from Google and Mandiant will share our insight into the security landscape and showcase the latest innovations you can use to make Google part of your security team. We’ll demonstrate new agentic security capabilities that can help you prevent threats, eliminate toil, and empower your talent. And you’ll hear from leaders in the public and private sector who have adopted our solutions to transform their security programs.

What’s next in compute and AI infrastructure (Recap)

session
Mark Lohmeyer (Google Cloud) , Vidur Apparao (Salesforce) , Chelsie Czop (Google Cloud)

The most exciting innovations today - from AI to scientific discovery to enterprise IT optimization - all have something in common: a foundation of powerful infrastructure. Learn how enhancements to AI Hypercomputer - from TPUs and GPUs, to storage and networking, to frameworks like JAX - scale performance and cost efficiency for inference, training, and scientific computing. Discover how new workload-specific capabilities across core infrastructure services improve performance & reliability for modern applications and enterprise workloads like SAP and VMWare.

What’s next with generative AI at Google Cloud

session
Katie Nguyen (Google Cloud) , Sri Gari (Google Cloud) , Warren Barkley (Google Cloud) , David Griffiths (CITI) , David Treat (Pearson)

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

What’s next with generative AI at Google Cloud (Recap)

session
Katie Nguyen (Google Cloud) , Sri Gari (Google Cloud) , Warren Barkley (Google Cloud) , David Griffiths (CITI) , David Treat (Pearson)

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

Why leading enterprises migrate to BigQuery and what they learned along the way (Recap)

session
Mark Clare (Quest Diagnostics, Inc) , Steve Walker (Google Cloud) , Razal Minhas (Ford) , Mohit Virendra (Google Cloud)

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.