AI Startup: Getting started and potential roads ahead
Salonen, Andreas (2021)
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202101261521
https://urn.fi/URN:NBN:fi:amk-202101261521
Tiivistelmä
Artificial intelligence has opened a broad range of opportunities for startups to develop unique products for their target market. Startups face a variety of different challenges during this development process and for this reason, the modern business development frameworks have been introduced to assess the startups and provide guidelines to follow in different stages of the startup’s evolvement. The objective of this study was to find potential roads to follow for a Finnish AI startup Fibelius with the help of selected business development frameworks. Fibelius is focusing to provide Natural Language Processing technology solutions to a specific service context within a public sector organization.
A qualitative approach and a case study strategy were selected to develop a comprehensive understating of the subject. The primary data of the study was collected through a Google Forms survey tool. The conducted survey gathered 22 responses from the professionals of the public sector organization and Finnis investors. The collected primary data was then analyzed and compared to specific features of the selected frameworks to provide an understanding of the occurred themes and find similarities between them.
The research findings suggest that all the selected frameworks can offer potential roads for Fibelius to follow. As some have a broader overview of the principles while others offer a more detailed path description, they all can act as a benchmark for Fibelius to develop its operations. The results also indicated that Fibelius should pursue to the public sector market with NLP technology product and emphasize the importance of acting on the feedback from the customers’ point of view. The modern business development frameworks can help Fibelius in the future product development process by providing the correct tools and metrics to analyze the response from the customer and begin to process of learning as fast as possible to find a correct market solution fit.
A qualitative approach and a case study strategy were selected to develop a comprehensive understating of the subject. The primary data of the study was collected through a Google Forms survey tool. The conducted survey gathered 22 responses from the professionals of the public sector organization and Finnis investors. The collected primary data was then analyzed and compared to specific features of the selected frameworks to provide an understanding of the occurred themes and find similarities between them.
The research findings suggest that all the selected frameworks can offer potential roads for Fibelius to follow. As some have a broader overview of the principles while others offer a more detailed path description, they all can act as a benchmark for Fibelius to develop its operations. The results also indicated that Fibelius should pursue to the public sector market with NLP technology product and emphasize the importance of acting on the feedback from the customers’ point of view. The modern business development frameworks can help Fibelius in the future product development process by providing the correct tools and metrics to analyze the response from the customer and begin to process of learning as fast as possible to find a correct market solution fit.