Fine-Tuned Companies, Implementing Foundational AI-Architecture for Enterprises

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School of Business | Bachelor's thesis
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Date

2025

Department

Tieto- ja palvelujohtamisen laitos

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Mcode

Degree programme

Tieto- ja palvelujohtaminen

Language

en

Pages

41

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Abstract

The general purpose computer took the world by storm over the 20th century, initiating a transformation akin to previous industrial revolutions, only this time around information processing. As more of our economy was built on top of computerized systems, modern enterprises became increasingly managed through information systems relying on accurate data. With recent rapid developments in Artificial Intelligence (AI), enterprises are facing large magnitude decisions around modernizing their architecture and harnessing benefits from these developments. Companies want to seize the moment but lack adequate information on the architectural side of AI to properly assess relevant options. This thesis analyzes the implementation of AI in enterprise architecture. The research reviews the current foundational AI-architecture in general and identifies the most important strategic considerations for enterprises to assess before planning for AI-implementation. Further, the thesis conducts a thorough literature review across fundamental AI-technologies enabling the development of practical AI-systems for enterprise contexts. It identifies and explains key architectural considerations in enterprise context. To account for the rapid developments within the field, emphasis is put on fundamental solutions that are unlikely to be disrupted soon. As a result, this thesis forms a novel, six-layer taxonomy for implementing AI-augmented systems within enterprise architecture.

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Thesis advisor

Seppälä, Tomi

Keywords

AI-architecture, information systems, enterprise architecture, MLOps, knowledge management

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https://urn.fi/URN:NBN:fi:aalto-202506154702

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[kand] Kauppakorkeakoulu / BIZ (Open Access)