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

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Thursday, July 22, 2021
11:00 AM - 12:00 PM (EDT)

Event Details

Every company has designed its own skills and competencies taxonomy. This makes qualitative (text-based) analysis and operations expensive and slow: a lot of data mapping and polishing must be done before even simple analysis. Way too often this taxonomy won't even follow internally the business unit's vocabularies and creates upskilling, hiring, and outsourcing automation challenges making the talent pipeline working in silos, internally and externally.
Headai has developed Machine Learning algorithms that can automatically polish and map all text data into a 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
During the discussion, we will talk about the fundamentals of the problem and solutions without using technical jargon so everyone can participate in the conversation, even without prior knowledge of AI or automation!

Host

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 the 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.