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The Artificial Intelligence (AI) Model Canvas Framework and Use Cases Aldian Nurcahyo; Jarot Suroso; Gunawan Wang
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.22206

Abstract

Artificial Intelligence (AI) has grown increasingly in the past decade. The growth and development bring up several issues for a successful AI project. The AI project requires communication across different domains, like specialists, engineers, data scientists, stakeholders, and ecosystem partners (analytic, storage, labeling, and open-source platforms). It offers numerous vital qualities to give deeper insights into user behavior and give recommendations based on the data. The AI project is hard to define, it requires more than mastery of data, and every enterprise needs guidance and a simple plan on how to use AI. This research creates a wide-view approach of different types of AI Model Canvas for companies that do projects, produce, promote and provide AI technology to organizations. We selected three canvases that represented AI, Machine Learning (ML), and Deep Learning (DL) method. We illustrate and interpret those canvas along with some case studies. We conclude our research by writing the final case report for each use case from the AI model canvas. By filling the one-page Canvas, it will help us explain what AI will provide, how it will interact with humans judgment, and how it will be used to influence decisions, how you will measure success & outcome, and the type of data needed to train, operate, and improve AI. The AI Model Canvas purposed a clear description and differentiation of the roles of stakeholders, customers, and AI strategy. This canvas also can be used in analytical and assembly projects in making new product lines.
eval_uation of IT Governance at Credit Union XYZ Financial Institutions Using COBIT 5 Framework Vinsensius Rekat; Gunawan Wang
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.4628

Abstract

Since 2002, Credit Union XYZ has been utilizing information technology in its lending operations. However, the utilization of IT governance has not been optimal due to various weaknesses, obstacles, and issues such as server problems, downtime for maintenance, system change requests, human resources, and recurring IT-related problems. This research aims to assess the current IT governance capabilities at Credit Union XYZ. The method used is the COBIT 5 standard with a focus on the APO and DSS domains tailored to the existing issues. Data were collected through questionnaires distributed to the IT team and relevant stakeholders. The selected COBIT 5 processes include APO06 (Manage budget and costs), APO07 (Manage human resources), DSS01 (Manage operations), DSS02 (Manage service requests and incidents), and DSS03 (Manage problems). The eval_uation reveals a 1 level gap in IT governance capabilities, with the current level at level 2 in Credit Union XYZ, while the target is level 3 in the future. The researcher's recommendation to Credit Union XYZ is to align IT processes with the standards and regulations established by COBIT 5.