Document AI, Vision AI, and Prompt Engineering

About this session

Explore how Document AI, Vision AI, and prompt engineering are reshaping the way organizations process information and automate decision-making. This session covers the challenges of managing unstructured data and demonstrates how AI-powered solutions can extract, classify, and analyze information from documents, images, and videos with greater speed and accuracy. Learn how Document AI leverages OCR and machine learning to process invoices, forms, contracts, and medical records, while Vision AI enables capabilities such as object detection, activity recognition, visual inspections, and image understanding. The session also explains the importance of prompt engineering in guiding AI models to produce reliable, accurate, and context-aware results. Through practical examples, including an insurance claims workflow, you'll see how text and visual AI solutions can be combined to build intelligent, end-to-end automation. The hands-on demonstration of the Segment Anything Model (SAM) showcases both automatic and interactive object masking techniques, highlighting how developers can precisely identify and isolate objects for advanced AI applications.