MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075406 A) filed by Dr. Mickle Aancy H; Mr. Pavan Markandeya Marisetti; Dr. V. Anitha; Dr. V. Velvizhi; Dr. Anisa Khanam; Sree Lakshmi M; and Dr. K. Maran on June 18, 2026, for Networked Computing Platform For Predictive Business Intelligence Using Hybrid Analytical Models And Adaptive Data Processing.
Inventors include Dr. Mickle Aancy H; Mr. Pavan Markandeya Marisetti; Dr. V. Anitha; Dr. V. Velvizhi; Dr. Anisa Khanam; Sree Lakshmi M; and Dr. K. Maran.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a networked computing platform for predictive business intelligence using hybrid analytical models and adaptive data processing. The platform includes a data ingestion layer for receiving heterogeneous enterprise data, a data harmonization layer for validating, cleaning, normalizing, and time-aligning the data, a feature generation layer for producing predictive feature vectors, and a hybrid analytics orchestration engine for dynamically selecting one or more analytical models based on data quality, volatility, anomaly score, drift score, latency requirement, prediction objective, and historical model performance. The platform further includes a confidence scoring module for associating each predictive output with a reliability score and a feedback processing module for comparing actual outcome data with previously generated predictions to update model weights and source reliability parameters. The invention improves predictive reliability, reduces manual configuration, detects anomalies and data drift, and enables technically enhanced delivery of predictive intelligence through dashboards, alerts, application programming interfaces, and enterprise workflow systems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
