Bringing AI to the Edge

As AI applications increasingly demand faster, smarter processing closer at the scene, edge computing has become essential. But how do you build powerful AI-enabled devices that can handle real-time tasks directly on the edge?

• At ImagingNext 2025, Carlos Gonzalez Mancebo, will explore how modern embedded platforms are making it easier than ever to build powerful AI-enabled devices. His session focuses on how hardware-accelerated tensor processing is unlocking new possibilities for edge intelligence — all while keeping latency low and performance high.

From Development to Deployment: How to Build Smarter Edge Devices

Carlos Gonzalez Mancebo will walk you through recent advances in embedded hardware and software systems, and show how developers can bring machine learning directly to devices. He’ll share key design principles, best practices, and real-world examples to help you get started with building on-device AI — without the need for heavy infrastructure.

Whether you’re developing smart cameras, autonomous systems, or vision-based products, this session will give you the tools to move faster and build smarter.

About the Speaker: Carlos Gonzalez Mancebo

Carlos Gonzalez Mancebo is Head of Partnerships and Developer Experience at Toradex, where he oversees the Toradex Proven Partner network – spanning software, hardware, consulting and product engineering – and leads the technical team responsible for developer documentation and global customer support. Previously he served as Director of Partnerships at Scandit, Chief of Staff for Payments Partnerships at Google, and Business Development Manager in Samsung’s Media Solution Centre Europe.

With over 15 years of experience in strategic partnerships, Carlos has both built and expanded partner ecosystems as an individual contributor and led high-performing teams to drive technical and commercial success.

At ImagingNext, Carlos brings a hands-on perspective to edge AI — combining technical depth with real-world know-how to help developers turn ideas into deployable solutions.

Why You Shouldn’t Miss This Session

If you’re working in AI, embedded development, or edge computing, you’ll come away with:

• A clear understanding of why edge AI is critical for real-time applications,
• Insights into the latest hardware and software platforms designed for AI at the edge,
• Practical tips to kick off or scale your own on-device AI projects.

Don’t miss your chance to see how AI is being brought to the edge — register now: https://framos.com/events/imaging-next-2025/