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IBM AI Fundamentals: Crucial Business Roles in Data Management for AI

Discover the essential business roles responsible for data in AI projects. Gain insights from the IBM Artificial Intelligence Fundamentals certification exam to understand the key responsibilities of AI Model Lead, Data Engineer, and Data Scientist in managing data for AI success.

Table of Contents

Question

Which of the following business roles is responsible for data?

Select the three that apply.

A. AI Model Lead
B. Data Engineer
C. AI Ops Engineer
D. Data Scientist

Answer

A. AI Model Lead
B. Data Engineer
D. Data Scientist

Explanation

The four roles responsible for data are: Data Scientist, AI Model Lead, Chief Risk Officer, and Data Engineer.

The three business roles that are typically responsible for data are:

A. AI Model Lead: While not as commonly referred to as data engineers or data scientists, AI Model Leads are often responsible for overseeing the development of data models and ensuring that the data used is appropriate and properly managed.
B. Data Engineer: Data engineers are responsible for designing, building, and maintaining datasets that can be leveraged in data projects.
D. Data Scientist: Data scientists analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.

AI Ops Engineers are generally more focused on the operational aspects of AI systems, such as deployment, monitoring, and maintenance, rather than direct responsibility for data.

IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.

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