On the Journey to AI Maturity

Understanding the Role of Enterprise Artificial Intelligence Service

DOI:

https://doi.org/10.30844/aistes.v6i1.26

Keywords:

AI, Enterprise AI, Enterprise System, Implementation Challenges, Natural Lan-guage Processing, Topic Modelling

Abstract

Artificial Intelligence (AI) has recently become pivotal in day-to-day business. However, surveys show that underlying, systemic issues – aside from AI-related aspects – hinder its enterprise-wide adoption. In this study, we aim to understand the role of this new breed of providers on the path to AI maturity and enterprise-wide adoption. We collect secondary data (i.e., surveys) from 154 white papers published by companies implementing AI solutions and apply descriptive and thematic analysis to understand the current challenges and opportunities of AI implementation. The thematic analysis involves topic modelling using natural language-processing algorithms. Our results demonstrate that, despite AI service providers addressing – at least in part – the major challenges faced by clients, there is still a gap between the skills demanded by end-users, and skills possessed by and focused on AI service providers.

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2023-01-19 — Updated on 2023-01-26

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2023. On the Journey to AI Maturity: Understanding the Role of Enterprise Artificial Intelligence Service. AIS Transactions on Enterprise Systems. 6, 1 (Jan. 2023). DOI:https://doi.org/10.30844/aistes.v6i1.26.

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