Title: Wirbelsäule-Plot for Multivariate Timeseries customized with AIP Agent
Primary area: interpretability and explainable AI
Keywords: medical timeseries sensor forecast prompt

Abstract: Growing interest in time series analytics and forecasting leads to demand in visualization including qualitative explanatory features at point in time. Enablement of prompt-specific instructions as inputs creates new horizons in implementation of interactive charts controlled by AIP Agents. In this paper we outline new approach to visualize the multi-variate timeseries with explanatory features at point in time. Palantir Foundry is perfect platform for this task and fully equipped with AIP-powered capabilities. Combination of the AIP Agents and customizable vega-chart Wirbelsäule-Plot becomes valuable resource for conducting comprehensive analysis. Our solution demonstrates interactive visualization for decision making systems.

TL;DR: Plot multivariate time series with LLMs via prompt