Sharing Knowledge, Because We Can
Ekkono is a company built on many years of research and thought leadership. On a mission to transform the way we use and develop connected things in the world, we want to share our knowledge on edge machine learning and related topics.
The spring of 2020 we released the concept #openfika – short and informative webinars on relevant topics related to what we do. All webinars are recorded and available in our YouTube channel. We have also written Short White Papers or Articles on each topic. Enjoy the watch and read!
On The Edge With Ekkono
To further improve your knowledge in Edge ML, watch “On The Edge With Ekkono” – Short and informative videos, specifically targeted to the world of Edge.
#15: X-Mas 2020 with Ekkono
Linn Sidahl, Ekkono, Head of Business Development
Jon Lindén, Ekkono, CEO
2020 was not what anyone expected. However, when looking back at the year, we see a better year than we at Ekkono expected. New and exciting customers and collaborations, two new SDK releases, a number of honorable awards, etc. When all physical meeting spaces, such as trade shows and other events, disappeared in March, we launched our virtual way of sharing our expertise. Watch our CEO, Jon Lindén, and our Head of Business Development, Linn Sidahl wrap up 2020 and tell you a little of what to come from Ekkono in 2021.
#14: How to Start an Edge Machine Learning Project
Robert Zimmerman, Ekkono, Director of Product Marketing
Joakim Andersson, Ekkono, VP of Solutions Architecture
All product companies most likely have the scenario of product improvements or quality issues that needs to be addressed. If you want your products to be smart, predictive and sustainable, then you should deploy Edge Machine Learning. Here we explain how you get started with your first Edge Machine Learning project and some frameworks to use.
#13: Live Coding with Ekkono’s Edge Machine Learning Software
Melissa Jenkins, Ekkono, CSO
We love to talk about what our unique Edge ML technology can do in terms of smarter, more efficient and sustainable IoT. In this #openfika video we show you how easy the product (code) is to deploy to your already existing, connected products. Ekkono’s CSO, Melissa Jenkins, demonstrates Ekkono’s Qt 5 QML integration; How quick it is to integrate Ekkono’s Edge ML onto your device.
#12: The Ekkono Story
Rikard König, Ekkono, CTO
Jon Lindén, Ekkono, CEO
The story of Ekkono Solutions originally started back in 1989, when Ekkono’s CTO and Co-founder, Rikard König, got his first computer. From his boys room, to university studies and later a PhD, applying his research in Machine Learning to the real world. In 2015 Jon Linden came along; A rebound tech entrepreneur with visions to transform the future of IoT by training small devices to become self-earning, i.e. “smart”. Here you get the ‘Ekkono Story’ when Rikard and Jon take you on the journey of a Swedish tech startup from the very beginning.
#11: How To Enter Post-Corona, Running!
Jon Lindén, Ekkono, CEO
Anders Alneng, Ekkono, VP Sales
Covid-19 has had an impact on all of us. As things start to normalize – though maybe to a new normal – we need to plan ahead. Here we give firm advice on how you kick-start your Smart IoT project, reach success, plan a PoC, and how to maximize a startup-enterprise collaboration.
#10: Sustainable and Smart IoT
Jon Lindén, Ekkono, CEO
IoT holds a tremendous potential. Not just business potential, but to save the world! Product OEMs have for decades perfected the design of products to make them energy efficient. Imagine when we operate every machine and vehicle at optimum! Now you can auto-configure your air conditioner for Stockholm or Bangkok, reduce wear and extend life-length of your motor by tuning it for its application, and much more. Learn how Smart IoT will expedite your sustainability efforts.
#9: Smart Battery Management
Rikard König, Ekkono, CTO
Anders Alneng, Ekkono, VP Sales
Electrification is central to the sustainable transformation of many product companies. Individual smart battery management is a crucial feature to remove range anxiety, improve charging, extend the life of the battery, and optimize utilization. Here we explain how Edge Machine Learning does Smart Battery Management.
#8: IoT in Japan
Hitomi Yatsu, Ubiquitous AI Corporation, Sales and Marketing
Jon Lindén, Ekkono, CEO
Japan is an exciting, innovative and different culture. What’s hot in IoT in the country that brought us the smartphone, lean automation, the Tamagotchi and the emoji? Ekkono’s CEO interviews Hitomi-san from Ekkono’s Japanese Solution Partner Ubiquitous AI Corporation.
#7: Federated Learning
Rikard König, Ekkono, CTO
In Traditional Machine Learning you process big data from many to find common denominators. In Edge Machine Learning we turn it around and learn what’s normal and identify deviations for the individual device. Federated Learning marries the two by correlating and comparing the Edge Machine Learning models from many, which opens entirely new opportunities.
#6: Energy Efficient Algorithms
Eva Garcia Martin, Ekkono, Data Scientist PhD
Linn Sidahl, Ekkono, Head of Business Development
Every detail counts when running onboard constrained edge devices. That’s why we take pride in the research done at Ekkono in the field of Energy Efficient Machine Learning Algorithms. Learn more about the sustainable and battery range benefits, and how it works.
#5: Incremental Learning at the Edge
Rikard König, Ekkono, CTO
Tomas Heed, Ekkono, MLE
Incremental Learning at the edge, where an individual machine learning model is trained to better over time, is a unique Ekkono feature. Here we demonstrate incremental learning in the context of demo.ekkono.ai and talk about real-life applications.
#4: Virtual Sensors
Joakim Andersson, Ekkono, VP Solutions Architecture
Jon Lindén, Ekkono, CEO
Edge Machine Learning is excellent for predicting sensor values. This can be used as a Virtual Sensor to replace an intrusive or hard to deploy sensor, an expensive sensor, one that needs constant calibration, or as a backup for a failing sensor. Here we address both the technical, practical and business aspects of Virtual Sensors.
#3: A Look Into Ekkono Lab
Henrik Linusson, Ekkono, Data Scientist
Robert Zimmerman, Ekkono, Product Marketing
Want to try Edge Machine Learning, but don’t know where to start? Let us introduce Ekkono Lab – an interactive, guided tour in a Jupyter Notebook environment with examples of health monitoring and battery life estimation, where you can get familiar with Ekkono’s Edge machine learning technology.
Get access to Ekkono Lab – Enter your work email address, name and company name for a personal Ekkono Lab account.
#2: How to Make Money on Smart IoT
Linn Sidahl, Ekkono, Head of Business Development
Jon Lindén, Ekkono, CEO
With IoT, product OEMs extend the relationship with their products to after they leave the factory. With machine learning you automate them, which represents a tremendous business potential with service-centric, data-driven, predictive, subscription business models. Here we share business development inspiration and plenty of Smart IoT use cases.
#1: Capitalizing on Customer Data – Forget About It
Jon Lindén, Ekkono CEO
IoT is all about putting sensors on things and connecting them to the Internet. The data generated enables every product OEM to become the next Google or Facebook by capitalizing on this data. Or not. Due to integrity and complexity this is not the case – but there are plenty of other ways to benefit from IoT.
