Machine learning models + IoT data = a smarter world

With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a trend that all developers should pay attention to. This talk will cover three core use cases, including: how to manage sourcing data from IoT devices to drive machine-learned models; how to deploy and use trained models on mobile devices; and how to do on-device training with a Raspberry Pi computer.

Machine learning models + IoT data = a smarter world (Google I/O '18)

Creating the Internet of Your Things, the Microsoft point of view on the Internet of Things

Where is your business going? How are you going to make it thrive? How will you make the most of what you have, and incorporate today’s and tomorrow’s technology breakthroughs to ensure your business is set up for the long term? How are you going to help your employees become more efficient? How are you going to reduce costs yet improve customer service? The answers to these questions—and many more—likely already exist in your business with the data and systems you have today. You may need ideas, inspiration, and technology partners to help you stop running your business and start making it thrive.

Microsoft recognizes that buzz about new technology can be exciting but also challenging to assess from a business perspective. The Internet of Things, also known as IoT, is one such trend. The Internet of Things provides vast opportunities, but it can also pose a challenge to enterprises.

The Internet of Things has kept plenty of technology journalists busy during the past year, but few have answered the most important questions of how to make it relevant to your business today. Instead, it often seems overwhelming, complicated, and expensive. It’s no wonder many companies are uncertain about implementing an IoT strategy. In this paper, we explain how to look beyond the hype and start on a path that will unlock the potential of the Internet of Your Thing

Download the paper - Creating the Internet of Your Things - HERE.

MQTT enabling the smallest "things"

The MQTT and MQTT-SN (see mqtt.org) protocols are being widely used for IoT applications because of their simplicity and low overheads. The Paho embedded client libraries for MQTT and MQTT-SN have been designed to minimize size and avoid dependencies on system libraries. This makes them suitable for use in just about any environment with a C or C++ compiler, regardless of operating system or networking library.

This session will describe the libraries; how they are split into layers of varying size and helpfulness, and how they can be ported to the environment of your choice. It will be illustrated with examples of use on platforms such as mbed and Arduino.

Presenter: Ian Craggs [IBM]

An overview of Eclipse IoT

Benjamin Cabé, from the Eclipse Foundation, gives an overview of the Eclipse IoT community.

Slides from the talk are available here: http://fr.slideshare.net/kartben/overview-of-eclipse-iot-projects-iot-day-grenoble

Internet of Things: Complexity of software for Sensor Fusion

On Tuesday, February 18, ARM hosted a live Google+ Hangout panel with executives from Atmel, Freescale and Sensor Platforms. read more HERE.


A sensor converts physical world characteristics into information that can then be processed using information technology tools. Sensor fusion is the process by which data points are combined from multiple sensors to yield the best estimate of the overall state of the system being observed. Battery life is the most critical measure for any device with built in sensors. Watch ARM's live Google+ Hangout on Air panel discussion with guests panelists from Atmel, Freescale, and Sensor Platforms. Our panelists will explore the various levels of software and hardware design techniques to address the opposing needs of low power and high software complexity.

http://community.arm.com/groups/smart-and-connected/blog/2014/02/05/internet-of-things-complexity-of-software-for-sensor-fusion-on-arms-google-hangout-on-air