AI pptX: Robust Continuous Learning for Document Generation with AI Insights

Business analysts create billions of slide decks, reports and documents annually. Most of these documents have well-defined structure comprising of similar content generated from data. We present 'AI pptX', a novel AI framework for creating and modifying documents as well as extract insights in the form of natural language sentences from data. AI pptX has three main components: (i) a component that translates users' natural language input into 'skills' that encapsulate content editing and formatting commands, (ii) a robust continuously learning component that interacts with users, and (iii) a component that automatically generates hierarchical insights in the form of natural language sentences. We illustrate (i) and (ii) with a study of 18 human users tasked to create a presentation deck and observe the learning capability from a decrease in user-input commands by up to 45%. We demonstrate the robust learning capability of AI pptX with experimental simulations of non-collaborative users. We illustrate (i) and (iii) by automatically generating insights in natural language using a data set from the Electricity Transmission Network of France (RTE); we show that a complex statistical analysis of series can automatically be distilled into easily interpretable explanations called AI Insights.