Automated workflows are becoming more intelligent with the integration of artificial intelligence. Specifically, Microsoft’s AI Builder, used within Power Automate, now allows users to automatically extract key pieces of information – such as names, dates, and locations – from text.
How Entity Extraction Works
The process, similarly known as Named Entity Recognition (NER), uses AI techniques like natural language processing and machine learning to identify and categorize information within text. This allows for the conversion of unstructured text into structured data.
Within Power Automate, users can access this capability through the “Extract entities from text with the standard model” action. The system requires the user to specify the language of the text and then provide the text itself for analysis. Users can also opt to use a custom model if they have one.
Applications of the Technology
This technology has a range of potential applications. For example, a manufacturing company could use it to automatically extract visitor information – name, contact details, and preferred visit date – from email inquiries. This information could then be automatically entered into a spreadsheet.
Following entity extraction, the identified information – such as entity type and entity value – can be used in subsequent actions within a Power Automate flow, like sending an email.
Frequently Asked Questions
What is entity extraction?
Entity extraction is the process of automatically identifying and pulling out specific pieces of information—like names, places, or dates—from plain text.
What types of entities can be extracted?
Common types of entities include people, organizations, locations, dates and times, quantities, products, and events.
How is this done in Power Automate?
Users can use the “Extract entities from text with the standard model” action in Power Automate, specifying the language and providing the text to be analyzed.
As AI-powered tools become more accessible, how might businesses adapt their workflows to leverage these capabilities for increased efficiency and accuracy?