Improve your Embedded Device Development: Effective UX & Back-End Collaboration

Maurice Kalinowski

Are you responsible for the development of modern embedded devices? If so, you know that the process of creating these devices has undergone significant changes in the past decade. With the addition of screens, we've gained the ability more easily and dynamically visualize data. And with the introduction of touch technology, there are completely new patterns and mechanisms to control an environment. To truly take advantage of these capabilities, development teams must incorporate UI and UX specialists into their workflow.

But what exactly does this involve, and how can it benefit your development process and the user experience of your devices? On the one hand, a strong focus on UX can improve the workflow of using a device. But customers also have higher expectations regarding the look and feel of user interfaces. They want visually appealing interfaces that provide a gaming-like experience. So what are the steps required to combine different user personas?

In this webinar, you'll learn how to effectively incorporate UI and UX specialists into your development process to streamline product creation and deliver a top-notch user experience. You'll also discover ways to avoid complexity and accelerate product creation times so that you can bring your modern embedded devices to market faster and more efficiently.

Join Qt's Product Director, Maurice Kalinowski, for this free webinar. Don't miss this opportunity to learn from the expert and take your embedded device development to the next level.

Tools for Embedded Systems Development

EOC Speakers

We've asked the speakers of the Embedded Online Conference to tell us about their favorite hardware and software tools for Embedded Systems development. What about you? What are your favorite tools?

TinyML for Fun and Profit

Pete Warden

Machine learning allows small, battery-powered devices to understand speech, protect wildlife, diagnose and even treat diseases. In this talk, Pete Warden, lead of the TensorFlow Lite Micro open source project, will talk about how embedded ML opens up a new world of possibilities, and will introduce some easy ways to get started.

Deep Learning Inference in Embedded Systems

Jeff Brower

The path to developing, testing, and deploying deep learning inference in embedded system products is marked by obstacles you must avoid. To do it sucessfully -- and avoid your investors and managers losing faith -- here are some crucial, high level guidlines.

The Past, Present, and Future of Embedded Machine Learning

Pete Warden

Pete Warden, from Google's TensorFlow Lite Micro project, will be talking about how machine learning on embedding devices began, and where it's heading. ML has been deployed to microcontrollers and DSPs for many years, but until recently it has been a niche solution for very particular problems. As deep learning has revolutionized the analysis of messy sensor data from cameras, microphones, and accelerometers it has begun to spread across many more applications. He will discuss how voice interfaces are leading the charge for ML on low-power, cheap devices, and what other uses are coming. He'll also look into the future of embedded machine learning to try to predict how hardware, software and applications will be evolving over the next few years.