Coffee Chat #204: Breaking the Silos by Automating Qualitative Analysis

Thursday, July 22, 2021
11:00 AM - 12:00 PM (EDT)
Every company has designed their own skills and competences taxonomy. This makes qualitative (text based) analysis and operations expensive and slow: a lot of data mapping and polishing must be done before even a simple analysis. Way too often this taxonomy won't even follow internally the business unit's vocabularies, and makes upskilling, hiring and outsourcing automation challenging. This all makes a talent pipeline working in silos, internally and externally.
Headai has developed Machine Learning algorithms that can automatically polish and map all text datas into similar abstraction layer. This enables automated qualitative analysis like
  1. scoring the candidates for jobs only based on text data
  2. finding gaps in a company's talent pool 
  3. showing signals and trends for future talent demand
In the talk, the fundamentals of the problem and solution is discussed without technical jargon, so every person is welcome to the event even without any prior knowledge on AI or automation.


Harri Ketamo

Harri Ketamo, Ph.D., is an entrepreneur with 20 years of experience in cognitive sciences, computational intelligence, complex adaptive systems and game development. Currently he is founder & chairman of Headai, a company developing General Semantic AI for transparent decision making. He has had more than 300 presentations, published more than 100 peer-reviewed research articles and developed products (games, MOOCs, adaptive systems, AI) used in more than 120 countries all over the world.