Accenture Deep Learning Patent: Time Series Data Processing, US12608591B2
Summary
USPTO granted patent US12608591B2 to Accenture Global Solutions Limited on April 21, 2026, covering an AI-based data processing system for transforming time series datasets. The system uses deep learning models for forecasting, employing data flattening and data stacking to process entities in a hierarchy. A primary model trains on first-party data while an extended model trains on third-party external data, with both models dynamically updated upon availability of new data. The patent contains 19 claims under CPC classifications G06N 3/044, G06N 3/08, G06N 3/045, and G06N 3/084.
“An Artificial Intelligence (AI) based data processing system transforms a plurality of time series data sets for processing by one or more deep learning (DL) models for generating forecasts.”
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GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 32 changes logged to date.
What changed
USPTO granted patent US12608591B2 to Accenture Global Solutions Limited on April 21, 2026. The patent covers a deep learning system that transforms time series data through hierarchical data flattening and stacking, enabling models trained on both first-party and third-party sources to generate forecasts. Both the primary and extended models are designed to update dynamically as new data becomes available.
Technology companies developing AI-based forecasting systems that use hierarchical time series data with multi-source training should consider this patent when designing products in this space. The filing date of December 28, 2021, means the patent term extends 20 years from that date, establishing an IP barrier in this specific application area.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Deep learning models processing time series data
Grant US12608591B2 Kind: B2 Apr 21, 2026
Assignee
ACCENTURE GLOBAL SOLUTIONS LIMITED
Inventors
Vijay Desai, Ravi Prakash, Abdus Saboor Khan
Abstract
An Artificial Intelligence (AI) based data processing system transforms a plurality of time series data sets for processing by one or more deep learning (DL) models for generating forecasts. The DL models are initially trained on training data generated from the historical data. During operation, a plurality of transformed time series data sets are generated from the plurality of time series data sets associated with different entities in an entity hierarchy via data flattening and data stacking. A primary model of the one or more DL models is trained on first-party data for generating the forecasts. An extended model of the one or more DL models is trained on third-party data from external data sources. Whenever new data is available in the first-party data or the third-party data, the primary model and the extended model are correspondingly updated.
CPC Classifications
G06N 3/044 G06N 3/08 G06N 3/045 G06N 3/084
Filing Date
2021-12-28
Application No.
17563924
Claims
19
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