Artificial Intelligence and Machine Learning in Expanding Business Opportunities : Case Study - Global Tech Strategies
Patana, Saku (2020)
Patana, Saku
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202003032948
https://urn.fi/URN:NBN:fi:amk-202003032948
Tiivistelmä
The objective of the thesis was to propose a model to implement AI and ML and a process model to build new business opportunities with AI and ML and create a summary of the implementation benefits and drawbacks. Moreover, the thesis aims to support the company with AI and ML implementation and thus improve its possibilities to grow locally and globally with new business opportunities. The company has a great amount of accumulated data from the software and the thesis addresses the possibility to utilize it for AI and ML solutions in order to maintain or/and improve competitiveness on markets.
The thesis is based on the company’s internal documents, interviews with the CEO and CIO, tacit knowledge gathered during the working period, available knowledge and best practices about AI, ML, IoT, Big data, and Business Development. Moreover, the thesis was conducted according to a structured approach that first discovers the current state of the company on behalf of services and business models, then explores available knowledge and best practices regarding the above topics, and finally builds an initial proposal which after validation becomes the final proposal that consists of three different parts.
The key findings of the thesis revealed that GTS employees do not have enough understanding and skills of AI and ML and are also unaware of the possibilities these bring to the company. However, as a positive finding, it revealed that GTS has huge opportunities to utilize AI and ML competences with accumulated historical data and software that can operate in various sectors and markets. Additionally, it must be acknowledged that the implementation requires consistency and good planning and to increase the prospects of success various business development strategies can be utilized.
The outcome of the thesis is a proposal that consists of three different parts: (1) A model to implement AI and ML supported by BD methodologies, (2) A process model to build new business opportunities with AI and ML, and (3) Summary of the benefits and drawbacks related to the implementation of AI and ML. The results help the company to start the AI and ML implementation, make decisions, understand all the required perspectives of the change as well as to find new business possibilities and innovations to expand GTS service offerings. Furthermore, the results can be used as well for other companies in the industry by making a re-evaluation and small changes to the models.
The thesis is based on the company’s internal documents, interviews with the CEO and CIO, tacit knowledge gathered during the working period, available knowledge and best practices about AI, ML, IoT, Big data, and Business Development. Moreover, the thesis was conducted according to a structured approach that first discovers the current state of the company on behalf of services and business models, then explores available knowledge and best practices regarding the above topics, and finally builds an initial proposal which after validation becomes the final proposal that consists of three different parts.
The key findings of the thesis revealed that GTS employees do not have enough understanding and skills of AI and ML and are also unaware of the possibilities these bring to the company. However, as a positive finding, it revealed that GTS has huge opportunities to utilize AI and ML competences with accumulated historical data and software that can operate in various sectors and markets. Additionally, it must be acknowledged that the implementation requires consistency and good planning and to increase the prospects of success various business development strategies can be utilized.
The outcome of the thesis is a proposal that consists of three different parts: (1) A model to implement AI and ML supported by BD methodologies, (2) A process model to build new business opportunities with AI and ML, and (3) Summary of the benefits and drawbacks related to the implementation of AI and ML. The results help the company to start the AI and ML implementation, make decisions, understand all the required perspectives of the change as well as to find new business possibilities and innovations to expand GTS service offerings. Furthermore, the results can be used as well for other companies in the industry by making a re-evaluation and small changes to the models.