312-41 practice question 32 of 35

A retail chain has moved beyond random experimentation to address specific business problems. Elena, the Director of Digital Strategy, notes that…

Choose your answer, then check it against the explanation.

A retail chain has moved beyond random experimentation to address specific business problems. Elena, the Director of Digital Strategy, notes that while several departments have successfully launched targeted pilots and executive leadership is now actively monitoring the results, the overall approach remains fragmented. She observes that governance relies on informal agreements rather than policy, and data pipelines vary significantly between teams, making repeatability difficult. Which AI maturity stage characterizes this state of high intent but inconsistent execution?

Answer options

Correct Answer:

Explanation

The organization's state aligns with the "Emerging" stage of AI maturity. This stage is characterized by successful but isolated pilot projects and growing executive interest, which the company has achieved. However, it is also defined by a lack of standardized processes, formal governance, and consistent data pipelines, leading to fragmentation and difficulty in scaling. The description of "informal agreements" and varied, non-repeatable pipelines perfectly matches this stage, which precedes the more structured "Defined" stage.

Why Incorrect

A. The organization is past the "Initial" stage, as it has moved from random experimentation to targeted, successful pilots with leadership visibility.

C. The lack of formal policy, standardized pipelines, and repeatability clearly indicates the organization has not yet reached the "Defined" stage.

D. The "Managed" stage involves quantitative management and full operational integration of AI, which is significantly more advanced than the current fragmented state.

References

1. Netolicka, J., & Mohelska, H. (2021). AI Maturity Models: A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 179. https://doi.org/10.3390/joitmc7030179. This review synthesizes various models, consistently identifying a stage after initial experimentation characterized by siloed success and a lack of enterprise-wide standards, akin to the "Emerging" stage.

2. Microsoft. (2020). AI Maturity Model for Business Leaders. Microsoft AI Business School. The "Foundational" stage (equivalent to Emerging) is described as having siloed AI projects and lacking a formal, centralized AI strategy or governance.

3. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, January–February 2018 Issue. The article describes the "pilots and experimentation" phase where companies have successful projects but struggle with enterprise-wide integration, mirroring the "Emerging" stage.

Question 32 of 35

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