Which role is responsible for building and uploading ML models into AI Center?

Which role is responsible for building and uploading ML models into AI Center?

• A. RPA Developer
• B. Data Scientist
• C. Process Controller
• D. System Administrator

Answer: (B)

The role responsible for building and uploading machine learning (ML) models into AI Center is the Data Scientist. This role is pivotal because Data Scientists possess the necessary skills to leverage statistical analysis, programming, and domain knowledge to develop, train, and validate machine learning models. Data Scientists understand how to preprocess data, select appropriate algorithms, and fine-tune models for specific tasks, which is crucial when integrating these models into AI Center. They also have expertise in evaluating the performance of the models and making necessary adjustments before deployment, ensuring that the models deliver accurate and useful predictions. In contrast, the roles of RPA Developer, Process Controller, and System Administrator focus on other aspects of the automation lifecycle. RPA Developers typically work on the design and implementation of robotic process automation workflows, while Process Controllers manage the execution and optimization of automated processes. System Administrators are responsible for maintaining the infrastructure and ensuring that systems run smoothly, but they do not directly engage in the data science or model-building processes.

The role responsible for building and uploading machine learning (ML) models into AI Center is the Data Scientist. This role is pivotal because Data Scientists possess the necessary skills to leverage statistical analysis, programming, and domain knowledge to develop, train, and validate machine learning models.

Data Scientists understand how to preprocess data, select appropriate algorithms, and fine-tune models for specific tasks, which is crucial when integrating these models into AI Center. They also have expertise in evaluating the performance of the models and making necessary adjustments before deployment, ensuring that the models deliver accurate and useful predictions.

In contrast, the roles of RPA Developer, Process Controller, and System Administrator focus on other aspects of the automation lifecycle. RPA Developers typically work on the design and implementation of robotic process automation workflows, while Process Controllers manage the execution and optimization of automated processes. System Administrators are responsible for maintaining the infrastructure and ensuring that systems run smoothly, but they do not directly engage in the data science or model-building processes.