Machine learning (ML) and the Internet of Things (IoT) are both technologies that are continuing to break new ground, advance rapidly, and change the way we think about and interact with products and the world. What happens when these two amazing technologies come together? What happens when we can take the data collected from sensors and use the power of our devices to make decisions, find problems, and optimize experiences in near real-time?

In this webinar, Zach Shelby, Founder, and CEO of Edge Impulse, and Ben Jacques, Engineering Manager at SpinDance share how embedded machine learning can make your existing devices even smarter, reduce operating costs, enhance the user experience, and even enable all new products that were never before possible. Explore the benefits and challenges surrounding these technologies and demonstrate how they could benefit you through a live demo.

Speakers

Ben Jacques
Ben Jacques - Engineering Manager SpinDance
Ben Jacques has over 10 years of experience in software development, with experience in backend development, user interface design, computer vision, system integration, and machine learning. When he’s not managing developers or testing out the latest machine learning algorithms, he enjoys spending time with family, working on home renovations, and spending as much time outdoors as possible.
Zach Shelby
Zach Shelby - Co-founder and CEO Edge Impulse
Zach is an entrepreneur, investor and technologist in the embedded space with a passion for TinyML and Internet engineering. Zach is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, is active in several of his portfolio companies, and working to bring ML to any embedded device.
Hosts
SpinDance
SpinDance
SpinDance consults, architects, builds and manages the software that powers today’s connected smart products.
SpinDance consults, architects, builds and manages the software that powers today’s connected smart products.