Training an AI Model Using Microsoft Power Automate AI Builder

Introduction

In today's data-driven world, harnessing the power of artificial intelligence (AI) is becoming essential for businesses aiming to streamline operations and make smarter decisions. Microsoft's Power Automate AI Builder empowers users to build AI models without the need for extensive coding knowledge. In this article, we'll explore the step-by-step process of training an AI model using AI Builder.

Understanding the Basics

Before delving into the training process, it's important to comprehend the fundamental concepts. AI Builder enables you to create models that can perform tasks like prediction, text extraction, form processing, and more. These models learn from existing data, allowing them to make accurate predictions or classifications on new, unseen data.

Training an AI Builder Model

1. Identify Key Data Points

Determine which data points from the email content can be used for decision-making. For example, you might focus on keywords, phrases, or patterns.

2. Create a Model

In the Power Platform, navigate to AI Builder and create a new model. Choose a prediction type that suits your scenario (classification, regression, etc.). In this example, we will be covering how to train an AI builder to extract values from the Invoice file. In the AI Builder model, select the “Invoice for the text” with the custom type

3. Train the Model

Use historical data or sample emails to train the AI model. Label examples as "approved" or "rejected" to teach the model how to classify future emails. Use the add to create a new Field and customize the new field that is needed.

Enter the name of the field that you need to be added as a field and click enter to get the field added.

Add the documents and create the new collection using the add collection and then train the documents with different documents that are available.

Once you are done with that, you will be able to see the values that the read by the AI builder by itself.

Train the documents after ensuring that the fields are present in all the documents. If it's not present, mark it as not in the document or collection and move on.

Please check for the accuracy of the model and improve as needed

4. Publish the Model

Once trained, publish the model to make it accessible to Power Automate.

 Deploy the Trained model from the AI Builder

Unleashing AI Builder's Training Capabilities

1. Language Understanding: Build models that interpret user queries and intent, enhancing chatbots and virtual assistants for improved customer interactions.
2. Suggesting Products: AI can look at what people buy online and give suggestions for what they might like next time they shop. This makes shopping online more personalized.
3. Workflow Automation: It assists in automating complex workflows by integrating AI predictions and decisions into business processes.
4. Sentiment Analysis: It can determine the sentiment behind text data, useful for understanding customer feedback and public opinion.
5. Image Recognition: It enables systems to recognize and categorize images, useful in fields like healthcare diagnostics and quality control.

Conclusion

Training an AI model with Microsoft Power Automate AI Builder is a user-friendly yet powerful process that brings AI capabilities to your fingertips. By following these steps, you can tap into the potential of AI to enhance decision-making, automate processes, and gain valuable insights from your data.