Microsoft AI Builder

What is AI Builder?

Microsoft’s AI Builder is a powerful tool within the Power Platform that allows you to integrate artificial intelligence (AI) into your business processes and applications—even without deep programming knowledge. Use predefined AI models or create your own to automate tasks such as form processing or text analysis. AI Builder can also create prediction models based on historical data—for example, to forecast sales figures or analyze customer feedback.

Difference Between Copilot and AI Builder

Copilot provides direct support in Office applications like Word and Excel by suggesting text, analyzing data, and simplifying complex tasks. AI Builder, on the other hand, enables the creation of customized AI models to automate specific business processes such as invoice processing or forecasting.

Target Audiences of AI Builder

Microsoft AI Builder is aimed at a wide range of users across different fields:

1. Business Users: Individuals without deep technical knowledge who want to integrate AI-powered features into their business processes. AI Builder allows you to create AI models without coding and integrate them into Power Apps, Power Automate, and Power BI.
2. Developers: Programmers looking to integrate AI models into their applications. AI Builder offers predefined models that are easy to configure and customize.
3. Data Analysts: Professionals who work with data and want to build complex models or optimize existing ones. AI Builder offers a user-friendly platform to test and deploy models across the organization.
4. Companies of All Sizes: Especially small and medium-sized businesses that may not have extensive IT resources can benefit from AI Builder by integrating AI technologies to enhance efficiency.

Where Can AI Builder Be Used?

• Power Apps
• Power Automate
• Power BI
• Dynamics 365
• Microsoft Dataverse

AI Builder in Power BI

1. Data Analysis and Predictions: AI Builder models can be embedded into Power BI reports to perform predictions, classifications, or other AI-driven analytics. These functions can be integrated directly into Power BI reports.
2. Automated Analytics: Integration with Power Automate allows the creation of automated workflows that utilize AI Builder models. For example, data loaded into Power BI could be automatically analyzed by an AI Builder model before visualization.
3. Visual Adjustments and Insights: Power BI allows you to embed AI models directly in reports—for instance, for text analysis or image recognition applied to existing report data.
4. Use of Predefined Models: Power BI includes predefined AI visualizations, enabling features like sentiment analysis, object recognition, and more. These often rely on the same AI technologies used by AI Builder.

AI Builder and Excel

While Microsoft AI Builder cannot be used directly within Excel, there are various ways to integrate the two:

1. Integration via Power Automate: AI Builder is integrated into Power Automate, allowing you to create automated workflows. For example, you could analyze or process Excel data using AI models—such as auto-categorizing data, extracting information from text, or predicting trends.
2. Data Import and Export: You can import data from Excel into Power Apps or Power Automate and apply AI models there. The results can then be exported back to Excel.
3. Advanced Analysis in Power BI: If using Power BI, you can integrate AI Builder models into your analysis. Results can then be incorporated into Excel-based reports.
4. Custom Connectors: In Power Apps and Power Automate, you can create custom connectors, enabling the use of AI Builder models to directly process and transfer data to and from Excel files.

AI Builder in Power Apps

AI Builder in Power Apps allows you to integrate AI-powered features into your custom apps. Key functionalities include:

1. Image Recognition

• Create models to detect and classify objects in images. For example, build an app that identifies product damage or inventory items by simply taking a photo.

2. Form Processing

• Automatically extract data from structured documents like invoices, order forms, or receipts. This data is then added to your app without manual input.

3. Text Classification

• Analyze text data efficiently and automatically categorize it. For instance, an app could classify customer feedback as positive, negative, or neutral.

4. Sentiment Analysis

• Analyze the sentiment of text. This can be used in apps to evaluate customer feedback or social media comments to understand overall sentiment.

5. Prediction Models

• Create models based on historical data to predict future events—such as what products a customer might buy or estimating future resource needs.

6. Object Detection

• Detect specific objects in images, useful in inventory management or quality assurance apps.

7. Handwriting Recognition

• Convert handwritten notes into digital text, which can then be stored or processed within your app—for instance, digitizing meeting notes.

8. Custom Business Models

• Create custom models tailored to your business needs and integrate them into Power Apps to automate specific tasks or processes.

AI Builder in Power Automate

AI Builder in Power Automate enables the development of various AI-driven automations to streamline your workflows. Key features include:

1. Automated Document Processing

• Form Processing: Automatically extract data from forms, invoices, receipts, and other documents, then transfer the data into systems or databases. For example, incoming invoices can be read and key information sent to an accounting system.

2. Image Processing

• Object Recognition: Create workflows that analyze uploaded images and perform actions based on the recognized objects—such as sorting or forwarding images.

3. Text Analysis

• Text Classification: Automatically analyze and categorize texts. For example, emails could be analyzed and routed to the appropriate department based on their content.

4. Making Predictions

• Prediction Models: Develop workflows that make predictions based on historical data. For instance, send alerts when a sales forecast exceeds or falls below certain thresholds.

5. Automated Business Decisions

• Custom Models: Create custom models that automate specific business decisions—e.g., approving or rejecting customer requests based on past outcomes.

6. Handwriting Recognition

• Convert handwritten forms or notes into digital text and send that text to recipients or databases via workflow.

7. Process Automation

• Automate recurring tasks like data processing or report generation. AI Builder performs these tasks based on intelligent analysis and decision-making—efficiently and accurately.

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