PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification CPMAI_v7 Question # 10 Topic 2 Discussion
CPMAI_v7 Exam Topic 2 Question 10 Discussion:
Question #: 10
Topic #: 2
For AI projects the code and systems don’t matter as much as the data. In fact, big data is what’s powering much of this latest wave of AI. What’s most important for your company to consider around data?
A.
Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
B.
Collect enormous amounts of data – the more data the better.
C.
Understanding which algorithms are best for your data needs.
D.
Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
CPMAI emphasizes that data is only as valuable as the team’s ability to manage, prepare, and harness it effectively. In Phase I: Business Understanding, one of the first tasks under Assess Situation is an “AI Skills Assessment,” which ensures that the project team has the right mix of experience and tooling expertise to handle data- intensive AI work. Without skilled data engineers and AI practitioners, even the largest datasets cannot be transformed into business value.
The Workbook’s Task Group: Assess Situation in Phase I explicitly calls out “AI Skills Assessment” alongside resource and tooling considerations, highlighting that team capability is a foundational requirement for any data-centric initiative.
Furthermore, in Domain IV: Data for AI of the CPMAI Exam Content Outline, managing data fundamentals and Big Data concepts hinges on having personnel who can “apply Big Data approaches to enhance AI capabilities”, which presupposes the presence of experienced data professionals.
Thus, the single most critical factor is ensuring you have team members with the right experience and tool expertise to handle and derive value from massive volumes of data.
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