Below is a list of all readings and resources for this Module. Refer to the lesson in the Brightspace course for how specific reading selections are aligned with other course content.
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). Methodological approach to assessing the current state of organizations for AI-Based Digital Transformation. Applied System Innovation, 7(1), 14. https://doi.org/10.3390/asi7010014
Belanger, E. (2023, October 23). Eliciting and documenting AI project needs: A comprehensive guide. LinkedIn. https://www.linkedin.com/pulse/eliciting-documenting-ai-project-needs-comprehensive-guide-belanger/
Gehlhaus, D. and Mutis, S. (2021, January). The U.S. AI workforce: Understanding the supply of AI talent | CSET issue brief. Center for Security and Emerging Technology. https://cset.georgetown.edu/wp-content/uploads/US-AI-Workforce_Brief-2.pdf
Generative AI: How do we measure success?: How to map both incremental and exponential AI initiatives to OKRs. (2023, May 10). The Causeit Guide to Digital Fluency. https://www.digitalfluency.guide/post/generative-ai-how-do-we-measure-success-okrs
Khan, N., McCarthy, B., & Pradhan, A. (n.d.) Executive’s guide to developing AI at scale. McKinsey & Company. https://www.mckinsey.com/capabilities/quantumblack/our-insights/executives-guide-to-developing-ai-at-scale#lab/roles/product-owner
