View all resources

Machine Learning meets Embedded Development {On-demand webinar}

Qt and Ekkono are working together to improve machine learning integration in the embedded development space. Ekkono has its own SDK, built to help developers rapidly deploy edge machine learning to embedded connected devices, allowing for conscious, self-learning, and predictive software. Imagine if all this functionality was easily adaptable into your existing Qt workflows. The possibilities are mind-boggling.

In this webinar you will learn how:
• Ekkono and Qt are paving the way for a streamlined method to implement a machine learning model for anomaly detection within a Qt application
• Improve workflows between machine learning experts and embedded stakeholders (UI/UX + Product managers + Embedded developers)
• Learn how the integration between Ekkono's machine learning for the Edge and Qt framework provides a faster iteration and prototyping procedure for all stakeholders in the embedded space (machine learning experts, embedded developers, UI/UX experts

Oh, here is more

Maximize ROI and Streamline Development with Qt

Modern development demands agility, performance, and a seamless user experience across platforms and...

Watch video

Webinar: Accelerating Industrial AI Applications

Artificial intelligence is redefining industrial automation—driving the evolution toward modular, so...

Watch video

Data Modul - Qt World Summit 2025

Learn how Qt helps Data Modul save time and costs for the creation of Industry-grade displays and HM...

Watch video

Harman - Qt World Summit 2025

Learn how Harman uses Qt Framework for Automotive HMI development and as an accelerator to unlock co...

Watch video