Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A financial auditing firm is developing an AI system to review complex legal contracts and financial documents. The system aims to quickly identify key clauses, extract specific data points (e.g., dates, monetary values, party names), and flag discrepancies or unusual patterns that require human review. Which AI workload is most suitable for this application?
- AKnowledge Mining
- BComputer Vision
- CPredictive Analytics
- DGenerative AI
Show answer & explanationAnswer & explanation
Correct answer: A. Knowledge Mining
Knowledge Mining is the AI workload focused on extracting insights, facts, and relationships from large volumes of unstructured data, such as legal contracts and financial documents, making it ideal for identifying key clauses and extracting specific data points.
Why the other options are wrong
- B. Computer Vision deals with images and videos, not text documents.
- C. Predictive Analytics forecasts future outcomes; it's not designed for extracting specific data points from text.
- D. Generative AI creates new content; it doesn't primarily extract information from existing documents.
Knowledge Mining
The process of extracting valuable information, insights, and patterns from large collections of structured and unstructured data, often text-based.
- Involves techniques like text analytics, natural language processing, and machine learning.
- Transforms unstructured data into structured, actionable knowledge.
- Used for search, content understanding, and discovery.
Memory trick: Mine for knowledge, contracts unlock.