June paper on 'Modular Service Structures for the Successful Design of Flexible Customer Journeys for AI Services and Business Models – Orchestration and Interplay of Services'

by Abdul Rauf Khan, Mohamed Zaki, Henrik Schiøler, and Murat Kulahci. The paper was accepted at 'The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)', a leading international conference in the areas of knowledge discovery and data mining (KDD). In this paper, Mohamed and co-authors propose a novel strategy for data mining based on partitioning of the feature space through Voronoi tessellation and Genetic Algorithm, where the latter is applied to solve a combinatorial optimization problem.

In this paper, Mohamed Zaki and Andy Neely propose a systematic multi-methods using a text-mining approach to capture and analyze customers’ data

Mohamed Zaki and Andy Neely had a paper accepted for publication in the Production Planning and Control - Zaki, M. E., Theodoulidis, B., Shapira, P., Neely, A. D., & Tepel, M. Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective. Production Planning and Control https://doi.org/10.17863/CAM.13779

9 April 2018 - Wearable Sensor Technology and Business, by Benjamin Lucas

Dr Mohamed Zaki delivered a presentation on ‘Service Innovation in the Digital Era’ in the Caterpillar Parts and Service Operations Summit organised last week in Dubai

The Cambridge Service Alliance hosted the 'Service Community Event' on the 19th April, where service professionals shared their experiences on a wide range of service topics.

February Paper on High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach by Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely