Mustafa Kabul

Mustafa Kabul

Mustafa is an Operations Research expert who is working at the interface of machine learning and optimization. He works as a Data Scientist in Analytic Server Division of SAS R&D and leads innovative projects for SAS’s next generation AI Enabled Analytics products including applications of Deep Learning. His current focus is on applying Deep Reinforcement Learning to operational problems in CRM and IoT space. During his PhD he worked on game theory models of supply chains selling to strategic customers. Earlier in his career at SAS he developed distributed large scale integer optimization algorithms for Marketing Optimization problems. As an optimization enthusiast he always looks into ways to improve the algorithms. Nowadays his favorites are the Distributed Stochastic Gradient and Online Learning methods.

Webcast: Implementing AI systems with interpretability, transparency, and trust
January 25, 2018
This webcast will focus on different machine learning and visualization techniques that can be used to make complex artificial intelligence systems interpretable, transparent and trustable.