Reap the business benefits from Microsoft AI Builder

AI is now at the top of mind for every business. As per Forbes, around 35% of companies leverage AI in their business to automate the process or generate insights. AI is generally perceived as a labor saver to handle repetitive and labor-intensive tasks. But the greatest barrier to AI adoption remains the skills gap to manage trustworthy AI projects and AI Governance. How do we address the skills gap?

Microsoft AI Builder helps append AI to applications and add capabilities to automate processes without extensive AI knowledge. Powered by low code, Microsoft AI Builder democratizes AI for everyone in the organization. As Microsoft projects, AI Builder can save upto 70% of development costs and efforts.

Moreover, AI Builder is offered with Power Apps and Power Automate to transform your app landscape and automate your workflows. Let us discuss more details about the AI Builder in further sections.

Contents hide

1 Microsoft AI Builder in Power Automate

2 Microsoft AI Builder for Power Apps

3 Custom Models – Microsoft AI Builder

3.1 Category Classification

3.2 Entity Extraction

3.3 Form Processing

3.4 Object Detection

3.5 Prediction

4 Microsoft AI Builder – Pre-built models

4.1 Business Card Reader

4.2 Category Classification

4.3 Entity Extraction

4.4 ID Card Reader

4.5 Key Phrase Extraction

4.6 Language Detection

4.7 Receipt Processing

4.8 Sentiment Analysis

4.9 Text Recognition

4.10 Text Translation

Microsoft AI Builder in Power Automate

Power Automate in the Microsoft Power Platform helps organizations to transform any repetitive tasks into automated processes. It enables knowledge workers across the organization to utilize their skills effectively for productive tasks. AI Builder on the other hand has pre-built and custom models without the need for the user to enhance their AI skills.

Power Automate can integrate AI Builder to extract information from invoices, contracts, payments and analyze customer feedback and e-mails. Users can leverage pre-defined models such as business card reader, entity extraction, key phrase extraction, language processing, receipt processing and text recognition. Also, they can leverage custom models like prediction, form processing, category classification, and object detection.

It is simple to integrate the models with Power Automate. All you need to do is add the appropriate AI Builder connector and select the model as shown below.

Microsoft AI Builder for Power Apps

With the inclusion of AI in Power Apps, Microsoft simplified intelligent applications for various organizational needs. The low code application development solution, Power Apps is already gaining traction with drag-and-drop features, pre-built templates, and access to CDS for Citizen developers. Organizations can ease their app overloads and reduce their development costs upto 70% while transforming them with AI.

With Microsoft AI Builder, businesses can embed AI into their applications without any extensive need for data scientists. In Power Apps, you can use two ways to leverage the potential of AI Builder – by providing the formula and inserting the needed Power Apps component.

With formulas, you can use Opinion analysis, entity extraction, language detection, category classification, and key phrase extraction. The other models like business card reader, form processing, receipts processing, and image detection are available through the components.

The stakeholders involved need to decide about the usage of ready-made, compiled patterns or training the models as per the need. For a better understanding of these models, let us look at more details about the pre-built and custom models that come with Microsoft AI Builder.

Custom Models – Microsoft AI Builder

Organizations considering AI Builder need to decide if they need compiled patterns or the training of one of the models provided. If you prefer to train the models provided, you can choose from the custom models shown in the above picture with an intuitive interface. Read further to know more about AI Builder models.

Category Classification

Do you need to analyze a large volume of data from your e-mail, social media, text, and other documents? Category classification helps you categorize according to the text like spam or inquiries and redirect them. You can train the model with data in Dataverse and organize the tags and text accordingly in different columns. Also, users can define up to 200 tag categories. It also supports French, German, Spanish, Italian, and Portuguese. Once you create the Category Classification model, Microsoft AI Builder will provide you with examples for your reference.

With this model, you can prompt actions or feed it as input for other predictive models. You can simply unsubscribe a user or predict the next best action to retain customers. But the model needs to be trained with adequate samples per tag for better results.

Entity Extraction

Do you want to extract any specific text from your workflows – email, feedback, demographics, personal history, etc.? With Entity Extraction, you can identify key elements in your text and assign them according to different categories. This is more about standardizing your data and structuring them to your specific needs. Moreover, it simplifies the process and transforms the unstructured data into a machine-readable format.

AI Builder has pre-built data tables too, so that businesses can augment their training data. Do you have challenges in finding data examples to train the model? You can customize the model with new entity types from small examples or modify existing entity types.

Microsoft AI Builder - Entity Extraction

Form Processing

With this AI model, you can extract data from any document or from forms in any format like PDF, .jpg, and .png. By using this model, you can quickly import data into tables to Dataverse. Training this model is also very simple. You can use five example forms to map the fields from a document or form and create the business workflow.

Businesses can leverage this model for gathering and processing information from invoices, trade receivables, waybills, KYC forms, application forms, and a lot more. Additionally, after extracting the information from the documents, it can be shared as an email attachment. Also, you can set notifications and alerts to the concerned business function like customer service for further actions.

Object Detection

Object detection is more about identifying the required objects as seen from the images. This model is useful for field service professionals. They can leverage AI to identify faulty products and request for service, repair, or replacement. The entire workflow for the service can be replicated with Power Platform and Microsoft AI Builder.

Additionally, the model can be leveraged to identify products, equipment, spare parts, and product lines. You can run an AI-powered mobile app to identify deviations from the products or for field service.

Prediction

Do you want to unearth insights from your historical data? You can leverage Microsoft AI Builder to uncover patterns from historical data and predict the future. These patterns help in answering binary questions like Yes/No. Will the customer renew his policy on-time – Yes/No. What are your next best products for revenue (list)?

To use this data model, the data must be present in the Dataverse. Most importantly, it is vital to understand the meaning of data and business outcomes to leverage this model for effective outcomes.

Microsoft AI Builder – Pre-built models

You may not need to collect volumes of data to train and create AI models. But you can leverage ready-made templates used in Microsoft Power Apps for your AI needs.

Business Card Reader

Currently, the model extracts the name, professional details, and contact details from the business card images. Microsoft is continuously improving the model as there are multiple formats for business cards available across professions and industries.