A technological, data-driven design journey for artificial intelligence (AI) initiatives

The philosophy for information system (IS)-related projects, such as artificial intelligence (AI) projects, embodies systematic and scientific approaches, that encompass the development, use, and applications of IS by focusing on the interactions among individuals, organizations, and society. However, many organizations still need to learn more about such approaches to ensure the success of AI projects. Design Thinking offers an opportunity to transform the way organizations design and develop strategies by integrating a human point of view with the possibility of implementing emerging technologies. The practice of Design Thinking provides some tools and methods for the problem-solving aspects of the development and implementation of AI initiatives. Bringing Design Thinking to AI projects is worth exploring, especially in bridging the creativity gap in terms of user-centric, innovative mindsets and toolsets. How can Design Thinking be embedded in the learning processes and enabled in the context of AI projects in the classroom environment? This study presents a technological data-driven design approach to provide an overview of the most important points and directions for an organization’s AI strategy in the proof-of-concept stage. A case study of AI initiatives utilizing computer vision (CV)–AI to improve analytical solutions for trade exhibitions is presented to capture the ideas and solutions and depict the practicability and implications of our proposed framework. The results of this study show that Design Thinking practices can be enlisted to help students frame their creations and that these practices have a valuable contribution as alternatives when designing AI-related curricula for teaching and learning.