Designing an AI-enabled
facial recognition system for retail

A Technical Webinar


Artificial intelligence (AI) is radically transforming the way retailers interact with their customers. Recent advances in AI have significantly improved the accuracy of facial recognition technology which is a powerful tool for in-store personalization. An AI enabled facial recognition system helps retailers to understand their customers better and to deliver greater customer experiences.

In this talk we explain how to design an AI enabled facial recognition system using deep learning, a technology of AI that has recently created significant breakthroughs in the field of computer vision and image processing. We explain the concepts of deep learning, the architecture of a deep learning based facial recognition system and how a facial recognition system may be deployed to improve customer experiences in a retail store.


Dr. Thomas Koickal
Chief Technologist -
AI & Cognitive Computing

Dr. Thomas leads and drives AI product engineering efforts and machine learning innovation culture. For over 20 years, he has researched and worked on predictive modeling, machine learning, deep learning, neuromorphic computing and brain-inspired computing architectures.

Dr. Thomas is one of the longest-serving practitioners of machine learning and has developed AI applications for healthcare, technology, financial, and space systems. He has delivered several talks on AI and ML technologies and his works have been published in leading IEEE journals and conferences.


  • Webinar Date

    Tuesday, 08 May, 2018

  • Webinar Time

    9 am PT / 12 pm ET

  • Webinar Duration

    60 Minutes

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