Following on from my conversation with Megan Butler about the state of the market for AI in recruitment, for the second part of this mini-series explaining AI and Machine learning, we are taking a deep dive into the technology and terminology itself.
My guest is Jon Krohn, Chief Data Scientist at recruiting technology company Untapt. Jon is also a lecturer, researcher and author in the field of machine learning, deep learning and natural language processing. This interview goes into a huge amount of detail into the definitions and mechanics of AI (in an understandable way!) as well as exploring current and future applications for recruiting.
In the interview, we discuss:
- The role of a data scientist
- AI and sorting the mail
- Building predictive data models
- Machine learning versus deep learning and why Siri got clever
- Data engineering
- Adoption and bias
- Current and future applications of AI in recruiting