• How To Start An Edge Machine Learning Project
    October 2020 In this Ekkono SWP (Short White Paper) we explain how to get started with Edge Machine Learning; How to select your first project and what to think of when starting up. We also show you frameworks in forms of Scenario Matrix, a Use Case Stair and a CRISP-DM process. When starting this type… Read More »How To Start An Edge Machine Learning Project
  • Smart Battery Management
    June 2020 In this Ekkono SWP (Short White Paper) we discuss how the nature of IoT devices and their environments require adaptive Battery Management Systems (BMS), tailored for the specific device. We mean that incremental Edge Machine Learning is the enabling technology to do so. To be truly smart a BMS system should include all… Read More »Smart Battery Management
  • Federated Learning
    May 2020 In this Ekkono SWP (Short White Paper) we discuss the Pros ans Cons with Federated Learning. Machine Learning for IoT has traditionally been done by uploading all data from each connected device to the cloud to train a generic model that can be distributed and applied to all devices. The advantage of this… Read More »Federated Learning
  • Energy Efficient Algorithms
    May 2020 In this Ekkono SWP (Short White Paper) we discuss the fact and use of Energy Efficient Algorithms. While more and more devices are being connected, they consume more and more energy. What happens when you also run machine learning (ML) on these devices? How can we design ML models that are as environmentally… Read More »Energy Efficient Algorithms
  • Incremental Learning
    April 2020 In this Ekkono SWP (Short White Paper) we introduce Incremental Learning – how you continuously can learn from streaming sensor data, train individually models per device, start with little or no data, etc. A traditional Machine Learning approach relies on the fact that data has been collected and is readily available in some… Read More »Incremental Learning
  • Virtual Sensors
    April 2020 In this Ekkono SWP (Short White Paper) we explore the use cases and practicalities of replacing/complementing physical sensors with Edge Machine Learning-based Virtual Sensors. Calculate sensor values where it’s hard or impossible to deploy intrusive sensors, replace expensive and redundant sensors in cars and motors, and have a useful backup value when a… Read More »Virtual Sensors
  • Show Me the Money – Business Models for Smart IoT
    April 2020 Ekkono SWP (Short White Paper) “Show Me The Money – Business Models for Smart IoT” follow up on the statement that you won’t make money on mining customers’ sensor data, by covering how you actually can save and make money in the production, installation and operations stages, as well as the entire product… Read More »Show Me the Money – Business Models for Smart IoT
  • Capitalize on Customer Data – Forget About It!
    April 2020 IoT represents a huge business opportunities, but many overestimate the value of collecting and mining big sensor data. Download our SWP (Short White Paper) : “Capitalize on Customer Data – Forget About It!” to learn why and alternative ways to think about it. Click the image to download the SWP document (pdf). Ekkono’s… Read More »Capitalize on Customer Data – Forget About It!