Jordan Thayer, PhD

AI Practice Lead

Recent Articles

Networking Engineers

One of the most useful skills I picked up during my Ph.D. studies was how to turn light refreshments into a whole meal.  The trick is to combine hunger and the ability to ignore shame for personal gain. Then one needs only spend an awful lot of time at the end of an event milling […]
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Elderly Hands

Identifying AI Opportunities: A Hypothetical Case Study

Previously, we discussed how there is a large class of business problems that AI can address.  Here, we’re going to follow up that thought with a hypothetical case study. In particular, we’ll look at how AI could be part of a product for addressing elder care. When we hear elder care and artificial intelligence some remarkable […]
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AI at work on assembly line

Identifying AI Opportunities

We often hear or read that artificial intelligence will change the world as we know it. This misses the mark; AI has changed the world that we live in forever. It isn’t some futuristic technology that will alter our lives someday. It’s a feature in products that we interact with today. Artificial intelligence isn’t a […]
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(Machine) Learning By Doing

We’ve discussed several applications of machine learning before. We teach a machine a concept from stored data so that it can: Identify problems with engines from telemetry data Identify digits from handwriting Identify sticky notes on a board Identify the winning team in DotA from team compositions The common thrust is that, using supervised learning, […]
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Record Deduplication

I have a relative that frequently has medical problems. This despite the fact that he’s a healthy young man. His problem is that he has too many names. He’s James-Robert, but depending on whom you ask, you’ll hear him called: Jim Bob Robert James Jim-Bob He has five names at least, and that’s before considering […]
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How Visualizations Lead To Advances in Artificial Intelligence

Heuristic search is a subfield of artificial intelligence.  It is the study of algorithms meant for general problem solving. The problems solved with heuristic search come from a variety of domains, including: Aligning genetic sequences Planning routes between two cities Scheduling elevators in a building Scheduling work orders in a machine shop These varried domains […]
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A Brief Evaluation of Cloud ML Tools

Originally published here. The Goal Someone recently told me in passing that they wished they had a machine learning sandbox. I didn’t know what that was exactly, but I had a few ideas about what it might be. I wrote down some notes about what I thought a machine learning sandbox might do for someone, […]
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Death Stranding: A Playground of Algorithms

Taken by Sergey Galyonkin from Raleigh, USA – E3 2018 Death Stranding was a surreal experience for several reasons. First, the game has a werid story line that’s a little hard to follow at times; exactly what you’d expect from the game’s director Hideo Kojima. Secondly, I’m still not used to seeing recognizable famous people […]
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Using Pipelines to Lower Barriers To Entry in Machine Learning

Many people are keenly interested in machine learning, and with good reason. Machine learning is applicable to a wide variety domains, including engineering, education, healthcare, and government. The broad applicability of machine learning is a double edged sword: Although an ever increasing pool of people want to use machine learning, a decreasing portion of them […]
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