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Mert Onuralp Gökalp

Mert Onuralp Gökalp

Visiting Researcher


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Biography:

Mert joins us as a visitor and will be working on a joint research project with Mohamed Zaki. Mert Gökalp is a PhD Candidate at Informatics Institute in Middle East Technical University, Turkey. His research areas include Big Data, IoT and Machine Learning. In Msc, his project was about providing a visual programming model upon big data tools to increase user adoption of big data analytics in IoT domain. Currently, he investigates adoption of big data in businesses to extend benefits that gained from big data.

Mert received his BS degree in Computer Science and Engineering, and Msc. degree in Information Systems. Currently, he is working as a full time research assistant in Middle East Technical University.

Keywords

  • Data Analytics
  • Big Data

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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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'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.

Digital twins: driving business model innovation

Nov 06, 2020

For B2B firms struggling to reap the rewards of digitalisation, could digital twins be the way forward? In this article, CSA's Dr Erika Pärn and colleagues from the Fraunhofer Institute and Technische Universität in Dortmund, explore the relationship between this emerging technology and business model innovation.

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