Posted: November 16th, 2017 | Author: Domingo | Filed under: hAItta Success Stories | Tags: Airline Industry, artificial intelligence, Default Detection, Domingo Senise de Gracia, Fraud Detection, hAItta, hAitta Yoken, IATA, Machine Learning, Mariano Ferrero | Comments Off on Artificial Intelligence Serving Fraud and Default Detection in the Airline Industry
This success story explains the one-year project successfully completed by hAItta for IATA, in which the fraud and default problem by the accredited passenger sales agents was tackled. The project had a two-fold scope:
1. Testing the suitability of using artificial intelligence to cope with IATA default problem.
2. The development of a machine learning-based model -from hAItta Yoken solution- to detect frauds with as much accuracy as possible.
Link to IATA success story by hAItta
Posted: November 7th, 2014 | Author: Domingo | Filed under: Artificial Intelligence, Conferences | Tags: 2014 IATA World People Symposium, AI, artificial intelligence, computational semantic, IATA, Innovation, John Naisbitt, knowledge map, learning & development, natural language processing, ontology, Taiger, test of Turing | Comments Off on Artificial Intelligence: a Catalyst in the Innovation of Learning and Development
Last November 6th I had the chance of participating as speaker in the World People Symposium in Prague, a yearly event organized by IATA, the aim of which is to gather HR heads from several firms and organizations in the aviation industry to share best practices and become acquainted with the last trends regarding HR policies. I was invited as Taiger Marketing & Communications VP, in the workshop Innovation in Learning & Development, to explain how artificial intelligence translates source materials into personalized emotionally intelligent training.
Once again I would like to thank Jane Hoskisson and John Boggs from IATA for having given me the chance of exposing our futuristic approach regarding learning and training.
Here there is a summary of my speech:
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