Everything Ekkono
Short, Relevant and Trailblazing.
Today’s connected products need to be smarter in order to reach their full potential. They also need to act more sustainable to be accommodated within the boundaries of the planet. To do this we use machine learning. And not just any ML, but Edge ML, where we process data locally, onboard the device. Watch this very first “On The Edge With Ekkono: Why Machine Learning Needs Edge” and learn the true benefits of using edge machine learning.
The True Business Potential in IoT
In this episode of On the Edge with Ekkono, we talk about why data won’t be the new oil, and why insights matter more. Learn the true business potential in IoT by using edge machine learning to make physical products smart – i.e. cognitive, predictive and context-aware.
Why You Should Consider Edge Machine Learning
We have seen what our edge machine learning software can do to optimize and automate energy use for industrial and automotive companies and their existing products, and by that truly contribute to energy transition and a more climate neutral world. Watch this OTEWE to learn more.
Optimize Energy Use With Edge ML
We have seen what our edge machine learning software can do to optimize and automate energy use for industrial and automotive companies and their existing products, and by that truly contribute to energy transition and a more climate neutral world. Watch this OTEWE to learn more.
Cloud vs Edge
Jan Bosch, Professor of Software Engineering at Chalmers University of Technology and Director of Software Center.
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In this special episode of On The Edge with Ekkono, we invited Jan Bosch to talk about the difference between edge and cloud, how they complement each other and how the future evolves when it come to centralized vs decentralized machine learning.
Watch the entire playlist!
You can learn more from our On The Edge videos on our youtube channel!
Click the video to the left to start from our intro.