(STU) SensibleAI Studio Overview
SensibleAI Studio is an AI Services Solution that is home to a variety of data science functionalities. These functions can be leveraged by OneStream consultants, developers, power-users, and end-users and can become embedded within their existing applications, solutions, and processes. SensibleAI Studio is built on top of Xperiflow (the proprietary AI Services Python engine) and manages callable data science functions known as Routines. Routines take in some predefined input (provided by the user) and provide some output such as model forecast predictions, classified anomalies, data transformations, generative AI functionality, etc. Examples of Routines that will be found within SensibleAI Studio include:
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Data Transformers: Pivots, Aggregations, Filters.
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Data Cleansers: Time Series Fills, Means, Kalman Filters, Anomaly Detectors.
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Optimizers: Monte Carlo Simulators, Linear Programming, Non-Linear Programming, etc.
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ML Models: Classification Algorithms, Clustering Algorithms, Regression Algorithms, Recommender Systems.
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Data Explorations: Time Series Decomposition, Dimensionality Reduction, PNG Visualizations.
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Feature Analysis: Feature Impact, Correlation Analysis.
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Generative AI Assistance: Bad code quality analyzers, performance analysis, natural language to SQL, etc.
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Virtually anything that can be coded in Python can be surfaced as a Routine.