AB-731: AI Transformation LeaderDemo

Question

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Yes or No

Statements	Yes	No
A barrier to AI adoption can include data limitations and a lack of AI readiness and skills.
Organizations often struggle with AI adoption because they prioritize technology selection before defining clear business use cases.
A lack of cross-functional collaboration is a common barrier to AI adoption.

Explanation

Data limitations — such as poor data quality, fragmented or siloed data, and insufficient data governance — combined with a shortage of AI skills and organizational readiness are consistently identified as leading barriers to enterprise AI adoption. Organizations that select AI tools and platforms before defining a clear business use case and measurable value proposition frequently fail to realize value, since strategy and outcome definition must precede technology selection for successful adoption. Finally, AI initiatives require coordination across IT, data science, legal/compliance, and business units; when this cross-functional collaboration is missing, the result is fragmented governance, duplicated investment, and misaligned initiatives — a recognized and common barrier to scaling AI within organizations.

AB-731: AI Transformation LeaderDemo

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Notes

Readiness

QuestionQ39

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