Artificial intelligence transformation and implementation frameworks
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In modern days there are many new technologies that are being implemented into organizations to gain competitive advantage and keep up with the evolving landscape. Artificial intelligence has become one of these new technologies and it even has been said to be one of the general purpose technology as likes of steam engine, electricity and internet. Usually reaping full benefits of new technologies has been troublesome for organizations. Therefore finding a working framework that would help with this burden and aim to increase the probability of revenue increase and cost cutting benefits is needed. There are many factors that have to be weighed in to generate a working AI framework for the organization. The aim of this research was therefore to answer the questions how organizations can start their AI journey and how they can implement AI initiatives. This can be answered by developing and AI transformation framework and a more detail AI implementation framework. Development of the model was conducted with Design science research methodology. DSR-methodology was built on literature reviews and empirical part that was done by subject matter interview. In the study two frameworks were developed that answer the research questions. A four stepped process was developed for the AI transformation process that can be followed to meet strategic alignment. AI implementation framework was also developed with consideration on approach, team, tools and methodology. These frameworks developed in this study are intended to be used with AI endeavors in Finnish companies.