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AI & Intelligent Automation Flashcards

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  1. Which Appian feature allows process models to include AI-powered document extraction to capture data from uploaded files?

    Answer: Appian Document Extraction (IDP)

    Appian's Intelligent Document Processing (IDP) uses AI to extract structured data from unstructured documents like PDFs and forms.

  2. What is Appian RPA (Robotic Process Automation) primarily used for?

    Answer: Automating repetitive tasks in legacy systems that lack APIs, using bot-driven UI interactions

    Appian RPA automates interactions with legacy applications through UI automation, bridging systems that don't expose APIs.

  3. Which Appian AI feature assists users by suggesting the next best action or predicting outcomes within a process?

    Answer: Appian AI Skills with predictive models connected via Expression Rules

    Appian AI Skills allow analysts to integrate machine learning models into process flows, surfacing predictions and recommendations to users.

  4. In Appian, how are external AI/ML model predictions typically consumed inside a process or interface?

    Answer: Via an Integration Object calling a REST API endpoint that serves the model's predictions

    Appian integrates with external AI services via standard REST calls through Integration Objects, making ML predictions available anywhere in the platform.

  5. What is the role of Appian's 'AI Copilot' feature in application development?

    Answer: It assists developers by generating expression rules, interface components, and process model suggestions using AI

    Appian AI Copilot accelerates development by generating code suggestions, expressions, and design recommendations directly in Appian Designer.

  6. Which Appian capability allows a process to pause and wait for a human decision when AI confidence is below a threshold?

    Answer: Human-in-the-loop (HITL) pattern using a conditional task assignment based on model confidence score

    The HITL pattern routes low-confidence predictions to a human reviewer task, ensuring AI-assisted decisions are validated when the model is uncertain.