IoTFuse 2019 - Workshops

How This Fits Into IoT 
Artificial Intelligence (AI) is starting to influence how we design internet-connected devices.  We now have options for low-cost sensor-located-hardware that can look for complex patterns in sensor data including image data.  This presentation will cover the trend of using AI technologies to move intelligence to the edge of our sensor networks to create more secure and higher quality analysis of sensor data that also lowers system costs.  We will introduce concepts such as procedural rules, neural networks, training, inference, anomaly detection and computer vision.  We will give examples of current hardware solutions and discuss real-world case studies of advanced Edge computing in the field.  We will also give you a peek at what is coming down the road.  We will wrap up with a list of resources for getting started in edge computing.

What Attendees Do 
Hear about edge computing and see these devices in action.  This includes real-time image recognition.

Learning Objectives 
Understand what edge computing is
Be familiar with edge computing concepts
Understand the tradeoffs of putting smarter devices near sensors
Hear about real-world examples
Be familiar with edge computing devices

What Attendees Bring 
Nothing

Knowledge Required 
No prior background is required

What Attendees Receive 
Copy of slides

Attendee Preparation Work (Downloads, Reading) 
Read wikipedia article on edge computing