Introduction to AO Easy Answers

Easy Answers - Home Page - this page is typically the default page for the Easy Answers solution, helping both new and experienced users easily view Topics, Questions, Insights, Dashboards, Data Summaries, and other Resources. Additionally, users with customization permissions can make both appearance and section changes to their Home Page.

Easy Answers - Results Page - this page allows the user to ask Questions and have a “Conversation” with the Easy Answers Agent to retrieve data available in the Ontology used by the Easy Answers solution. There are three options in the dropdown from the Easy Answers field:

• Easy Answers - based on the user’s Natural Language Questions, this page will show dynamically generated Dashboards of automatically curated data visualizations (Apps), including KPI tiles, Maps, Charts, Tables, and other custom Apps. Users can furthermore request Quick Insights from Machine Learning Models, and even request augmented Insights from generative AI systems.

• Content Repositories - this option integrates with the Easy Answers ChatBot, allowing users to ask questions from one or more Content Repositories containing documents, such as PDF and Word files. See Search in Content Repositories.

• Standard Search - this page uses a traditional search method allowing users to search for specific indexed data, such as customer or product names, materials, locations, etc…, and typically results in a list view of records being retrieved matching the search criteria. Note: This type of page has to be created by a solution developer under a separate agreement with App Orchid.

Easy Answers - Dashboards Page - this page contains one or more named Dashboards, either private to the current user or public for all users with access to the solution. Any Dashboard can be selected as a Default Dashboard.

Easy Answers - Insights Page - this page contains different Insights in chronological order. There are currently two possible types of Insights on this page:

• System-generated Insights based on Machine Learning models looking for anomalies, trends, and sudden changes across topics in the ontology. See Insights - Advanced ML Models.

• User-requested Quick Insights based on Machine Learning models. See Quick Insights.