AB-731: AI Transformation LeaderDemo

By Microsoft · Question Mode

QuestionQ26

Identify an implementation and adoption strategy for Microsoft’s AI apps and services

Match each business scenario to the appropriate AI solution design approach. Drag the AI solution to its corresponding business scenario. Each solution may be used once, more than once, or not at all.

Drag & Drop
Build with Azure Machine Learning
Build with Microsoft Copilot Studio
Extend with Microsoft 365 Copilot connectors
Use Microsoft 365 Copilot
The marketing department at your company wants AI to summarize emails and create presentations.
The HR department at your company wants a conversational agent for policy questions and leave requests.
The manufacturing department at your company wants AI to predict maintenance schedules.
The finance department at your company wants AI-powered access to enterprise resource planning (ERP) data by using familiar productivity tools.
Explanation

Microsoft 365 Copilot provides built-in generative AI features directly inside Office apps (Word, PowerPoint, Outlook) for tasks like summarizing content and generating presentations, making it the right fit for the marketing scenario. Microsoft Copilot Studio is a low-code platform for building custom conversational agents grounded on specific data and processes, such as an HR bot that answers policy questions and processes leave requests. Azure Machine Learning is the platform for building, training, and deploying custom predictive models, which is required for a manufacturing scenario that predicts maintenance schedules from operational/sensor data. Microsoft 365 Copilot connectors extend Copilot's knowledge by ingesting external line-of-business data (such as ERP data) into Microsoft Graph or retrieving it in real time, allowing users to access that data through familiar Microsoft 365 productivity tools, which matches the finance department's requirement.

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