Existing executive events, investment planning sessions, regular checkups, service reviews, etc. are mainly based on static content such as templates, PDF files and PPT presentations. However, these templates have static dashboard and predefined scenarios that cannot be changed/altered during the presentation and lack the ability to visually-represent relevant ad-hoc content. As such, presented herein are dynamic (ad-hoc) and context-based visualization systems that are more intuitive than conventional arrangements. The techniques presented herein may, for example, facilitate a more natural decision making process by providing content that can dynamically change based, for example, on the current context, such as important in-depth questions supporting a decision making process, etc. In one example, a user may ask a follow up question and the system is configured to store the context and provide a recursive answer. The system may offer the next best question, based on an embedded convolutional sequence. The techniques presented herein may also use generative models and graph classifiers to convert data into a visual representation.
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Nedeltchev, Plamen; Garikapati, Madhuri; Kroll, Eric; and Kesavan, Mani, "METHODS AND APPARATUS FOR INTENT AND CONTEXT-BASED AD-HOC DATA DRIVEN REPORTING AND VISUALIZATION", Technical Disclosure Commons, (January 14, 2020)