In the fifth episode of of Series Two of UCL School of Management's podcast, host and School Director, Davide Ravasi talks to Rouba Ibrahim Professor and Head (Operations and Technology) to discuss queuing systems and the suggestions from Rouba's research with School of Managment co-authors to improve the queuing systems.

They discuss, how you can manage a queuing system when the first come, first served model doesn’t work? What is priority queue jumping and why do people do it? Rouba aims to provide a greater understanding of why people cheat and the implications it can have.

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In the fourth episode of Series Two of UCL School of Management's podcast, host and School Director, Davide Ravasi talks to Associate Professor Onesun Steve Yoo and UCL School of Management alumni Mahesh De Zoysa as they share their insights on the use of natural language processing, machine learning and automated analytics to deliver reliable information to improve performance in industrial businesses, from the challenge of dealing with large, complex and often unstructured datasets, to finding the bigger picture for its implementation in the market.

Mahesh and Onesun Steve discuss the benefits of applying machine learning to large scale procurement and how analytics can support the improvement of supply chain practices. Their project has initially been funded by Innovate-UK and brings together academic research with industry experience.

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In the third episode of Series Two of UCL School of Management's podcast, host and School Director, Davide Ravasi talks to Deputy Director (EDI) at UCL School of Management, Dr. Sunny Lee and UCL alumna Dr. Kiki Leutner as they share their insights on how companies are using artificial intelligence to improve and streamline their recruitment processes and discuss the pros and cons of using machines to process this data.

Dr. Kiki Leutner and Dr. Sunny Lee discuss the advancements of AI in the recruitment process, drawing on real-life examples where the technology has been a success and addressing areas where improvements still need to be made. They look at the ethical application of AI debasing algorithms and highlight the importance of legislation and regulation of the technology.

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