Recruiting on a Mission for Recovery: Programmatic Advertising Meets Conversational AI

A recent report published in the Wall Street Journal claims, “Automated-hiring systems are excluding many people from job discussions at a time when additional employees are desperately needed.” Moreover, the report states that one reason why some workers can’t find jobs is that “the software that sorts through applicants deletes millions of people from consideration. However, when programmatic recruitment advertising is combined with Conversational AI for candidate engagement, it ensures delivery of the highest possible volume of qualified applicants. Join Keisuke Inoue, lead Algorithm Data Scientist at PandoLogic, to explore how AI chatbots can leverage NLP/ML libraries, like Spacy and transformers, among other tools, for tasks such as extracting required skills from job descriptions, scoring roles based on their complexity, and answering questions by interviewees. Through a real-world example, Inoue will discuss the challenges of building an AI Recruiter at scale and how decisions are made to reach best-in-class approaches and optimal outcomes, including comparing different APIs and machine learning methods.
Who is this presentation for?
This presentation is for any attendee interested in using Conversational AI to increase business outcomes.
Prerequisite knowledge:
This presentation is for any attendee interested in using Conversational AI to increase business outcomes.
What you'll learn?
Attendees will learn the challenges of building an AI Recruiter at scale and how decisions are made to reach best-in-class approaches and optimal outcomes. Attendees will take away a framework building chatbots that leverage NLP /ML to deliver the highest quality results.

Keisuke Inoue is the lead Algorithm Data Scientist at PandoLogic. He specializes in NLP and Machine Learning with a focus on understanding and generating language texts in conversational contexts.