Disruptive Intelligent Operations




Disruptive Intelligent Operations

14 January 2019

New York

Added 01-Jan-1970

We are excited to host our first Meetup for this group. Exciting discussions and talks about AI driven mass decisions, the implication of data driven optimisations using reinforcement learning approaches. The first session will be a tutorial on reinforcement learning, and how to apply it to business problems discussion to help understand the opportunities and challenges of AI. Professor Michael Feindt founder of Blue Yonder, a leader in Retail automated Decision Making will give us a short talk about the importance of probabilistic frameworks in decision making. Finally, we will have a panel session for an open discussion about challenges and opportunities of AI in Retail. This is an opportunity to network together, feel free to bring guests. Unfortunately, Spaces are limited, on first come basis.


5:30: Drinks and Pizza
5:45: Welcome/Intro
5:50: Tutorial: The use of reinforcement learning for process optimisation.
6:10: Michael Feindt: AI driven mass decisions in retail
6:25: Talk 2, TBC
6:40: Panel Discussion and Networking, opportunities and challenges of intelligent operations in retail.
7:10: Refreshments and Networking

In the tutorial we will explain the importance of process optimisation in the retail sector, drawing from examples from other sectors. We will explain the use of reinforcement learning as a framework for optimisation. We will show a real case study in work force management for optimising decision making.

Bio: Rafik Salama is the head of data science in REPL, a lead consulting firm in the retail sector. Rafik comes from a mixed background of computer science, physics, mathematics. He has a led research career in the university of Oxford, Cambridge, publishing various papers in nature. Rafik has worked across the financial, health, energy, and retail sector. Prior to REPL, he lead the data science team for a government research in the energy to boost the SME energy market. In addition to his role at REPL, he is also a visiting scientist in the university of Oxford