Welcome to EKKONO REFLEKTIONS - Ekkono's brand new short format for inspiration and knowledge-sharing on Edge Machine Learning! In this first episode, Ekkono's CEO, Jon Lindén, shares his thoughts and reflections on Edge Machine Learning and IoT in 2022.

In this very last OTEWE of the year, Jon Lindén meets Anders Chrintz, Vice President Nordics at Tech Mahindra. Why is it important for a tech giant to partner with small and innovative companies, and why did Tech Mahindra choose to partner up with Ekkono?

In this 'On The Edge With Ekkono' Video, our Head of Business Development, Linn Sidahl, talk about why large companies and corporations need to collaborate with smaller technology pioneers to speed up the pace of new technology, meet the demands of Industry 4.0 and 5.0 - and help build a sustainable future!

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Watch Ekkono's Co-founder and CTO, Rikard König, talk about how Edge ML in embedded systems can enable decision support for IoT, and how decentralized learning simplifies problems by divide and conquer.

Watch Anders Alneng, Co-founder and VP Sales at Ekkono, talk about what the Industry 4.0 really means for products companies, from our perspective as a pioneer software provider - and why you want to start exploring machine learning on the edge.

What does it really mean to run machine learning on the edge? Ekkono's researchers, engineers, and developers are constantly working hard to bring smart functionality to the smallest of hardware platforms. To demonstrate how Ekkono's software works - how fast, accurate and efficient it is - we decided to run our machine learning algorithms on a C64. Watch when magic happens! For more details about Ekkono's edge machine learning software, read this related blog post by Ekkono's Data Scientist, Henrik Linusson: https://www.ekkono.ai/running-ekkonos-edge-machine-learning-on-a-commodore-64/

Why do we focus so much on research at Ekkono, how do we deploy machine learning research into our SDK and what are our principles? Watch Ekkono's Data Scientist and Machine Learning PhD, Eva Garcia Martin, talk about research, technology, sustainability and the connection between.

In this special episode of On The Edge with Ekkono, we invite Jan Bosch, Professor of Software Engineering at Chalmers University of Technology and Director of Software Center, 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. This is an extra long OTEWE, simply because Jan Bosch has a wide areas of competence and many interesting thoughts on the present and the future of machine learning on the edge, and how it complements cloud.

Imagine when we can optimize how every individual thing operates. Every machine, motor, vehicle, oven, air conditioner and conveyor band. Well, we at Ekkono can! Sustainability is in Ekkono's DNA and we have seen what our edge machine learning software can do in terms of predictive maintenance, smart battery management and virtual sensors, to optimize and automate industrial and automotive companies and their existing products. We truly contribute to energy transition and a more climate neutral world. We are all in this transition to shape a climate neutral future with innovative solutions and smart approaches together.

What is really the difference between cloud and edge analytics? What are the challenges of sending and processing data in the cloud and the benefits of doing it onboard devices - on the edge? Watch this short and informative video with Ekkono's CTO and Co-founder, Dr Rikard König, and discover why you should consider applying Edge ML onto your existing products.

In this second episode of On the Edge with Ekkono, our Head of Business Development, Linn Sidahl, 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.

To be 'Creative Company of the year in Varberg', there are a number of criteria to fill. For example, in an innovative and creative way contribute to the municipality's development and make an impression within and outside the municipal boundaries. This year's Creative Company tick off all the criteria in an exceptional way. With customers such as Bombardier, Husqvarna, Siemens and Sandvik, this year's creative company is involved in developing the business community and spreading smartness from Varberg to the whole world. If you can get a robotic lawnmower to be smart, and consider Internet of Things to be a simple thing, then you really are this year's Creative Company in Varberg. This year's creative company is Ekkono Solutions!

The term "Internet of Things" was coined in 1999 by the British technology pioneer Kevin Ashton to describe a system where the Internet is connected to the physical world via ubiquitous sensors. These sensors nowadays equip all connected products and companies in all industries work on applying - and advancing it, from industrial to consumer products. 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 Machine Learning, where we process data locally, onboard the device. The word Ekkono means 'cognition' and that is what we do, we give things a cognitive mind by making them self-learn the normal condition, understand the surrounding environment it operates in, and detect or even predict when the conditions change. Watch this very first "On The Edge With Ekkono: Why Machine Learning Needs Edge" and learn the true benefits of using Edge Machine Learning.

2021... and probably more expectations on a new year than ever before in modern time. Mankind has a lot to achieve and new research and technology will continue to trail blaze time ahead. At Ekkono we also have a lot to achieve with transforming the way we use and develop connected things - IoT. We are a tech company, built on research and knowledge. What we do - edge machine learning - is cutting-edge and our data scientist and engineers develop new software and solutions on a daily basis to make connected devices smarter and more sustainable. We love to share what we know and are able do with our machine learning technology. Starting this month, January 2021, we introduce "On The Edge With Ekkono" - short and informative videos on topics related to our core; Edge machine learning. In less than five minutes we will keep you updates on new technology, research, use cases, customer cases, trends, news, and so on. We truly believe that this monthly dose of machine learning on the edge expertise will get you new knowledge, insights and inspiration on how you can jump on the edge train with us. So look out for the very first "On The Edge With Ekkono" in our social media channels shortly. If you want to be sure not to miss it, be sure to sign up on our newsletter on our website Ekkono.ai. See you on the edge!

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. We invited you to #openfika - a short open, live, online fika* session, on hot, contemporary and relevant topics. Up to this date, we've hosted 14 #openfikas on mixed topics related to what we do. How about "How to make money on Smart IoT" or "Smart & Sustainable IoT"? Or our Tech Editions where we guided you in the Ekkono Lab, and the live coding session, teaching a computer "Hello World" by using our SDK, in 10 minutes. #openfika served us well in 2020, but this is our very last virtual fika. 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.

Oh Deer! What's the fuzz about Santa's Connected Ekkono Sleigh in Varberg, Sweden? What are we doing and why?

Santa is busier than ever this Christmas of 2020, delivering all gifts on a safe distance. Using Ekkono's embedded Edge ML software to predict how many time Santa and his reindeer will take off, we can estimate if he will make it in time or not. Just enough sensor data (produced from the sound of honking cars) will able us to predict hos many take-offs Santa will make in a day, in a week, and until Christmas.

Do you see product improvements or quality issues in your business that needs to be addressed? Are you curious about Edge Machine Learning and wonder if it applies to your products? In this #openfika webinar, Ekkono's Director of Product Marketing, Robert Zimmerman, and VP of Solutions Architecture, Joakim Andersson, explain how to get started with Edge Machine Learning. They discuss how to select your first project and what to think of when starting up. They also show you a framework in the form of a CRISP-DM process and a Use Case Stair, plus share their personal project experiences. Interested in knowing more about the first steps of Edge ML? Contact us at info@ekono.ai and we will guide you in the right direction.

We love to talk about what our unique Edge ML technology can do in terms of smarter, more efficient and sustainable IoT. Here we want to show you how easy the product (code) is to deploy to your already existing, connected products. In this #13 #openfika webinar we are entertained by Ekkono's CSO, Melissa Jenkins. She demonstrates Ekkono's Qt 5 QML integration, to show how quick it is to integrate our Edge Machine Learning onto your device. Melissa teaches a computer "Hello World" in two different programming languages, using Qt Design Studio. This is probably me our most teaching and entertaining #openfika Webinar so far!