We are now looking for master’s students within Industrial Engineering, Engineering Management, Business and Technology, or an equivalent engineering program who are interested in doing their thesis project within Husqvarna Group’s Enterprise AI Hub.
Organizations are increasingly investing in artificial intelligence, including generative AI, predictive analytics, optimization, computer vision, and machine learning. However, many still struggle to assess whether AI initiatives create measurable and sustainable business value. Common questions include:
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What constitutes success for an AI initiative?
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How should AI value be measured?
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Which performance indicators are relevant at different stages?
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How should benefits be tracked after an AI solution has entered production?
AI initiatives evolve from early experimentation and concept validation to deployment, scaling, and long-term operation. The information needed to evaluate an early experiment may therefore differ significantly from what is needed to evaluate a mature AI solution in production. At Husqvarna, we work actively with this topic and are keen to understand these questions from an academic perspective.
This thesis project will investigate academic literature and relevant industry practices related to performance measurement and value realization for enterprise AI. The focus will be on providing structured knowledge and decision support for Husqvarna Group’s Enterprise AI Hub. The results may contribute to future discussions about how AI initiatives should be measured and followed up across their lifecycle.
The thesis will not determine how Husqvarna Group should manage or measure AI. Instead, it will provide research-based insights, alternatives, and evaluation criteria that can support future decisions in this area.
The overall goal of the thesis is to investigate performance measurement frameworks for enterprise AI, from experimentation to realized business value.
The student is expected to investigate and contribute within the areas outlined below. Given the breadth of the topic, the final scope will be refined during the initial weeks of the thesis together with the student(s), academic supervisor, and Husqvarna thesis sponsor.
Investigate AI measurement frameworks