Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 6)

Sramana Mitra: Do you have pointers to open problems and white spaces in this domain? Stuart Nisbet: We started this conversation on what types of data we have as inputs. We find that a great deal of the data or information that is used in the hiring process does not come through the application or

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Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 5)

Sramana Mitra: I’m listening and thinking about the zip code example that you took me through just a few minutes ago. There is going to be bias if you apply that. It’s a lot better to have a job close to your home. There will be a certain amount of advantage that will accrue to

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Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 4)

Sramana Mitra: What else is interesting in your technology? Stuart Nisbet: If you are researching AI in general, I think this will go well beyond what we’ve talked about today. The trust and explainability of what an AI algorithm does is a trend in the industry and is one of the things that I address the most.

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Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 3)

Sramana Mitra: Going back to my question about the dataset upon which you are applying your algorithm, are you working on résumés? Where are you getting all these data from?  Stuart Nisbet: If we went out to apply for a job at a local retailer, they use an online system where they create a profile,

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Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 2)

Sramana Mitra: It sounds like there are a few areas where you’re using AI and machine learning. If you could start isolating them and discuss one by one, we can dialogue on each of them.  Stuart Nisbet: In the area of hourly hiring, applicants come to a website and they apply for a job or

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Thought Leaders in Artificial Intelligence: Stuart Nisbet, Chief Data Scientist, Cadient Talent (Part 1)

A conversation on AI in the hiring  space. Sramana Mitra: Let’s start by introducing our audience to yourself as well as Cadient. Stuart Nisbet: I am the Chief Data Scientist with Cadient Talent. Our mission is to assist in the area of distributed hourly hiring.