Leveraging AI for Recruitment towards Economic Recovery
At PandoLogic, we combine world-class programmatic recruitment advertising with Conversational AI for candidate engagement to ensure delivery of the highest possible volume of qualified applicants. In this presentation, Keisuke Inoue will describe our latest effort to develop and integrate our AI recruiter chatbot into PandoLogic’s programmatic recruitment platform.
The chatbot leverages NLP/ML libraries such as Spacy and transformers, among other tools, for tasks such as extracting required skills from job descriptions, scoring the roles based on their complexity, and answering questions by the interviewees. It also utilizes services such as Daxtra for job description parsing and Kore.AI as the chatbot platform.
Keisuke will discuss the challenges of building an AI Recruiter at scale and describe how the decisions were made to reach the current approach and outcomes, including a comparison of different APIs and machine learning methods.
Keisuke Inoue
Lead Algorithm Data Scientist at PandoLogic
Keisuke Inoue is the Lead Algorithm Data Scientist at PandoLogic. He specializes in NLP and Machine Learning with a focus on understanding and generating natural language texts in conversational
Amy Heineike is the Principal Product Architect at Primer, building machines that read and write text, leveraging NLP, NLG, and a host of algorithms to augment human analysts. On Primer’s founding team, she built their data science and engineering teams and recently moved to England where she will grow their UK presence.
Previously, she developed technology for visualizing large document sets as network maps and worked in London modeling cities.
A Cambridge mathematician, Amy is fascinated by complex human systems and the algorithms and data that help us understand them.
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