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Machine Learning - Managerial Perspective: A Study to define concepts and highlight challenges in a product-based IT Organization
Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The purpose of this research is to understand the main managerial challenges that arise in the context of Machine Learning. This research aims to explore the core concepts of Machine Learning and provide the same conceptual foundation to managers to overcome possible obstacles while implementing Machine Learning. Therefore, the main research question is: 

What are the phases and the main challenges while managing Machine Learning project in a product based IT organization? 

 The focus is on the main concepts of Machine Learning and identifying challenges during each phase through literature review and qualitative data collected from interviews conducted with professionals. The research aims to position itself in the field of research which looks for inputs from consultants and management professionals either associated with Machine Learning or they are planning to start such initiatives. In this research paper we introduce ACDDT (Agile-Customer-Data-Domain-Technology) model framework for managers. This framework is centered on the main challenges in Machine Learning project phases while dealing with customer, data, domain and technology. In addition, the frame work also provides key inputs to managers for managing those challenges and possibly overcome them.

Place, publisher, year, edition, pages
2019. , p. 73
Keywords [en]
Machine Learning, Management Challenges, Model Management, Team, Decision Making, Technology, Domain Expert, Customer, ACDDT Model
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:bth-18835OAI: oai:DiVA.org:bth-18835DiVA, id: diva2:1367105
Subject / course
IY2594 Magisterarbete MBA
Educational program
IYABA MBA programme
Presentation
2019-05-28, Virtual, skype meeting, Malmo, 15:16 (English)
Supervisors
Examiners
Available from: 2019-11-26 Created: 2019-10-31 Last updated: 2019-11-26Bibliographically approved

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Machine Learning(1447 kB)3 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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