US Patent Application 18196598. AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING simplified abstract
AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING
Organization Name
Inventor(s)
Chandra Dhandapani of Dallas TX (US)
Gurmeet Singh of Irving TX (US)
Ajmal Karuthakantakath of Flower Mound TX (US)
Frederick Crable of Allen TX (US)
Nicholas Dolle of McKinney TX (US)
Vikramaditya Repaka of Allen TX (US)
Sanjiv Yajnik of Dallas TX (US)
AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18196598 titled 'AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING
Simplified Explanation
- The patent application describes systems and techniques for executing analytical models across multiple dimensions of data in real-time. - The goal is to predict optimal decisions by analyzing client, collateral, deal structure, third party, and other relevant data. - The disclosed systems and techniques aim to increase decisioning speed by reducing computational loads on decisioning systems. - Advanced execution environments are used to scale-out analytical modeling computations, allowing the execution of multiple models in parallel. - The execution environments are asynchronous and non-blocking, optimizing the results of the analytical models.
Original Abstract Submitted
Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.
