Understand AI Document Intelligence
Azure AI Document Intelligence is easy to use but, to create a reliable solution, you must understand its objects such as models, APIs, and tools.
In your polling company, you’re assessing Azure AI Document Intelligence to see if it can streamline your data entry workflow. You need to understand what data Azure AI Document Intelligence can obtain from the different polling forms you use and how your development team will build a AI data entry system and integrate it with your mobile and desktop apps and databases.
In this unit, you’ll learn what Azure AI Document Intelligence does and how developers can configure it to support their forms and documents.
What is Azure AI Document Intelligence?
Until recently, getting data from a completed form into a database or any other data store required someone to enter it manually. Manual data entry is a slow and intensive task and can be expensive, especially if you have thousands of forms to enter. Operators often make reading or typing errors that reduce the accuracy of your data.
Manual data entry was the only option because it was difficult for computers to recognize printed or hand-written text. Now, AI has become commonplace and has enabled computers to recognize patterns, such as letter shapes in a piece of text, with a high degree of accuracy. We can use AI as an alternative to manual data entry with lower costs and fewer errors in the extracted data.
Azure AI Document Intelligence is an Azure service that you can use to analyze forms completed by your customers, partners, employers, or others and extract the data that they contain.
Responsible use of AI
AI technologies are powerful and have the potential to make great impacts on people’s lives. To ensure that such impacts are positive, Microsoft uses the following principles when it designs and builds AI solutions. You should consider these principles whenever you make use of AI:
- Fairness. All AI systems should treat people fairly, regardless of race, belief, gender, sexuality, or other factors.
- Reliability and safety. All AI systems should give reliable answers with quantifiable confidence levels.
- Privacy and security. All AI systems should secure and protect sensitive data and operate within applicable data protection laws.
- Inclusiveness. All AI systems should be available to all users, regardless of their abilities.
- Transparency. All AI systems should operate understandably and openly.
- Accountability. All AI systems should be run by people who are accountable for the actions of those systems.