|Video of the Researcher|
Dr. Terry Peckham
Using data stewardship and mesh computing to improve an speed up processes for industry and enhance the security of information transfer
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|Introduce yourself, your experience and your credentials||
Terry Peckham has his PhD in Computer Science and has been working at Saskatchewan Polytechnic for the past 12 years. He has been involved in various roles with his most recent work developing and coordinating the Digital Integration Research Group at Saskatchewan Polytechnic. Terry is currently working for the University of Saskatchewan, University of Regina and Saskatchewan Polytechnic in conjunction with the WCIO as a Research and Innovation Specialist.
|Describe your research||
My area of research explores applied data stewardship. By data stewardship I mean the management and the oversight of an organization’s data for the purposes of obtaining useful information. This is achieved by looking for meaningful patterns that exist within an organization’s data.
This is accomplished through two primary means that we focus on and that is the areas of machine learning and artificial intelligence. Both of those techniques provide meaningful ways in order to take a look at what seems to be chaos and try to find the order that exists within that chaos.
By asset management we don’t mean just simply looking at the physical assets that exist within an organization but we also look at data being an asset itself and what can we learn from the information that exists about those particular assets. In today’s economy and today’s world data is increasingly becoming one of the most important assets that an organization has.
Time-sensitive networking is one of the more applied areas of our research. In that particular area what we’re very interested in helping an organization with is being able to track various physical assets that are critical to manufacturing, to milling, the mining industry, to agricultural things, and actually has to occur at a specific set of times based on the data input that’s happening.
The third area that I would like to talk about is in mesh computing. By that I mean being able to connect various sensor systems together to allow data to easily move between a sensor at the edge of the computing environment to some computing that’s close to it and then up to the cloud as a continuum.
The idea is to make sure that the computing that we do is done as close to the edge or the actual device or the machine doing the work as possible to rely less on information that’s being generated out of the cloud. This saves time in terms of bandwidth, it allows for much faster reaction times where that is necessary, and it also allows for robust data communication to occur inside an environment or an organization.
|Explain its significance||
Data on its own is uninformed it doesn’t give you what you need. My research involves taking data and turning that data into information and then with that information we’re able to create an economic impact.
Data stewardship covers a lot of different areas. It implies storage, it implies how to keep that data safe and through security, it involves how to safely transmit that data across a network, and it also involves discovering the hidden gems that exist inside that data. This impacts the environment through the discovery of better practices that reduce waste.
It improves personal safety through tracking and automation, it enhances personal wellness through the use of biofeedback and cognitive information, and it optimizes the processes in the business world and in the manufacturing world.
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