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At the forefront of service transformation in the digital era

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Kerem Kayabay

Kerem Kayabay

Visiting Researcher


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Biography:

Kerem joins us as a visitor and will be working on a joint research project with Mohamed Zaki. Kerem Kayabay is a PhD Candidate at Informatics Institute in Middle East Technical University, Turkey. His research areas include Entrepreneurship, Cloud Computing, Big Data, and Industry 4.0. Most recently, he investigates platforms that are aimed to enable the transformation into the next generation of manufacturing.

Kerem received his BS degree in Computer Science, and MBA degree both from Bilkent University. Currently, he is working as a full time research assistant in Middle East Technical University.

Keywords

  • Data Analytics
  • Big Data

Collaborators

Cambridge Service Alliance

Welcome to the Cambridge Service Alliance…

  • a unique global alliance between leading businesses and universities;
  • bringing together the world's leading firms and academics;
  • all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow.

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RSS Feed Latest news

Bouygues Construction joins the Cambridge Service Alliance

May 27, 2021

'Using AI to Track How Customers Feel — In Real Time' published in the Harvard Business Review

May 13, 2021

The paper 'Using AI to Track How Customers Feel — In Real Time' by Mohamed Zaki, Janet R. McColl-Kennedy and Andy Neely has been published in Harvard Business Review.

Industry Day 2020 | What we learnt

Dec 06, 2020

What is the future of services in the new pandemic-driven era? This was the topic explored at our 2020 Industry Day by senior executives from L'Oréal, Microsoft Research, Manchester United and start-up, Fairjungle.

Understanding business models in the construction sector

Nov 25, 2020

What’s standing in the way of offsite manufacturing? For decades, the construction sector has been hailing it as the next big thing but we have yet to see it really taking off. Why is that, when the technologies and processes already exist? Dr Zakaria Dakhli believes it is due to a fundamental incompatibility between business models and it is only when this has been fully understood that the long-awaited transformation can take place.

A machine learning approach to quality control

Nov 14, 2020

Most of the products we take for granted contain huge numbers of components assembled in multiple stages by different manufacturers. Quality control is vital throughout the assembly process with rigorous testing required at every step.

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