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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Sep 25, 2019

Today we are joined by Karim Beguir, Co-Founder and CEO of InstaDeep, a company in Tunisia, Africa focusing on building advanced decision-making systems for the enterprise. In this episode, we discuss where his and InstaDeep’s journey began in Tunisia, Africa (00:27), the challenges that enterprise companies are seeing in logistics that can be solved by deep learning and machine learning (05:43), how InstaDeep is applying DL and RL to real world problems (09:45), and what are the data sets used to train these models and the application of transfer learning between similar data sets (13:00). Additionally, we go over ‘Rank Rewards’, a paper Karim published last year, in which adversarial self-play in two-player games has delivered impressive results when used with reinforcement learning algorithms (22:40), the overall efficiency of RL for logistical problems (23:05), and details on the InstaDeep process (35:37).

The complete show notes for this episode can be found at