MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078251 A) filed by Vardhaman College Of Engineering on June 25, 2026, for A System And Method For Real-Time Big Data Analytics And Intelligent Decision Support Using Artificial Intelligence.
Inventors include Mr. Kottu Santosh Kumar; Mr. Nirmal Keshari Swain; Mr. Vijayaraghavulu; Mr. Shobanbabu R Jaganathan; Dr. Gagandeep Arora; and Dr. Jagini Naga Padmaja.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT A System and Method for Real-Time Big Data Analytics and Intelligent Decision Support Using Artificial Intelligence The present disclosure relates to a system and method for real-time big data analytics and autonomous decision orchestration using adaptive cognitive digital twin intelligence and explainable artificial intelligence framework. The system receives heterogeneous data streams from distributed data sources and processes the data through a Multi-Source Adaptive Data Harmonization Module and a Self- Healing Data Stream Reconstruction Engine to produce reliable analytical datasets. A Cognitive Decision Digital Twin Engine is used to generate dynamic virtual representations of operational environments and perform predictive simulations of future scenarios. An Adaptive Federated Analytics Orchestration Module enables distributed analytics over edge, fog and cloud infrastructures. An Explainable Multi-Layer Reasoning Intelligence Module generates transparent recommendations with confidence estimation and causal explanations. The system further comprises an Autonomous Decision Risk Quantification Module, a Neuro-Symbolic Cognitive Governance Engine, a Predictive Resource Optimization Module and a Closed-Loop Autonomous Learning Feedback Module for risk-aware decision validation, resource optimization and continuous model evolution. The disclosed invention improves analytical accuracy, scalability, resource utilization, explainability and real-time decision-making efficiency.
Disclaimer: Curated by HT Syndication.
