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Answer: Professional Machine Learning Engineer to translate business challenges into ML use cases and evaluate model performance, Compliance Officer to ensure the ML solution adheres to local data protection laws
The correct choices are **C. Professional Machine Learning Engineer** and **E. Compliance Officer**. The Professional Machine Learning Engineer is crucial for translating the company's supply chain challenges into feasible ML use cases, such as demand forecasting and inventory management, and for evaluating the performance of these models in improving operational efficiency. The Compliance Officer is equally important to ensure that the ML solution complies with local data protection laws across different regions, addressing the company's legal and regulatory concerns. While a Data Engineer and Data Analyst play supportive roles in data infrastructure and analysis, respectively, they are not primarily responsible for the translation of business challenges into ML use cases or compliance. An Artificial Intelligence Researcher might contribute to algorithm development but is not focused on the practical application of ML to specific business problems.
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A multinational corporation is looking to optimize its global supply chain operations using machine learning to improve demand forecasting, inventory management, and logistics efficiency. The company has a vast amount of historical sales and logistics data but lacks the expertise to translate these business challenges into actionable ML use cases. They are also concerned about ensuring the solution is scalable across different regions and complies with local data protection laws. Which two professionals should the company primarily engage to address these challenges effectively? (Choose two)
A
Data Engineer to design and maintain the data infrastructure required for ML models
B
Artificial Intelligence Researcher to develop cutting-edge algorithms for supply chain optimization
C
Professional Machine Learning Engineer to translate business challenges into ML use cases and evaluate model performance
D
Data Analyst to perform exploratory data analysis and generate insights from the historical data
E
Compliance Officer to ensure the ML solution adheres to local data protection laws