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Explanation:
C is correct because system integrators and software developers are pivotal at the stage where the AI model is being integrated into an existing IT infrastructure. In the given scenario, their role is crucial for ensuring that the newly developed AI system for supply chain management seamlessly integrates with TechGenius Inc.'s current systems, functions effectively, and is user-friendly for the employees.
A is incorrect as the initial planning and designing phase involves outlining the AI system's objectives and requirements. This stage typically involves data scientists, domain experts, and AI designers, rather than system integrators and software developers.
B is incorrect because the creation, selection, calibration, and testing of the AI model are part of the AI Development phase. This stage is crucial for machine learning experts and data scientists who develop the predictive model, which is prior to the integration step highlighted in the scenario.
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Q.5697 Imagine a company, "TechGenius Inc.," is developing an AI system to optimize its supply chain management. The system is designed to predict inventory needs, manage shipping logistics, and automate order processing. The AI model has been developed and tested, and it's now ready for integration into TechGenius Inc.'s existing IT infrastructure. The company wants to ensure that the AI system is seamlessly integrated, functions well within its operational environment, and is user-friendly for its employees. At which point in this scenario does the involvement of system integrators and software developers become most crucial?
A
During the initial planning and designing of the AI system, where the objectives and requirements of the system are defined.
B
When the AI model is being created, selected, calibrated, and tested for its predictive capabilities.
C
During the integration of the AI model into the company's existing IT infrastructure, ensuring compatibility and user-friendliness.
D
Once the system is deployed, for the ongoing operation and monitoring of the AI system's performance and impacts.