AI Overseer Data Pipeline for Adaptive Retrieval Flow Control
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Solution Overview
Problem
Existing data retrieval systems lack flexibility and adjustment capabilities, leading to inefficiencies due to static data pipelines that cannot alter data flow rates post-construction.
Innovation Solution
Implementing an overseer data pipeline controlled by an artificial intelligence engine that manages data pipelines, allowing for priority assignment, flow rate regulation, compression, encryption, pausing, filtering, and validation, with anomaly detection and alerting capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static data pipeline architecture is used, then system simplicity is maintained, but flexibility and adjustment capabilities deteriorate
Solution Approach 1:
The patent implements dynamic control of data flow rates through an overseer pipeline with AI engine that continuously monitors and adjusts pipeline performance in real-time, transforming static pipelines into adaptive systems that can respond to changing conditions without fundamental architectural changes
Solution Approach 2:
The system incorporates feedback mechanisms where the AI engine monitors pipeline metrics, detects anomalies, and automatically adjusts data flow rates based on performance feedback, creating a closed-loop control system that improves flexibility while maintaining manageable complexity
2Productivity
If data flow rate is increased, then productivity improves, but resource consumption increases
Solution Approach 1:
The overseer pipeline dynamically adjusts data flow rates based on real-time monitoring of system resources and pipeline performance, increasing flow rates when resources are abundant to improve productivity, and reducing flow rates when resources are constrained to prevent overload
Solution Approach 2:
The system changes operational parameters (data flow rates) dynamically based on current system state, allowing optimization of the balance between productivity and resource consumption by adjusting flow rates according to available computing resources and pipeline capacity
3Productivity
If multiple data pipelines are managed without priority assignment, then system simplicity is maintained, but data retrieval efficiency deteriorates
Solution Approach 1:
The overseer pipeline performs preliminary actions by assigning priorities to individual pipelines before data retrieval operations begin, establishing a control framework that enables efficient multi-pipeline management without adding complex real-time decision-making requirements
Solution Approach 2:
The overseer pipeline acts as an intermediary layer between the AI engine and individual data pipelines, managing priority assignments and flow rate regulations centrally, which simplifies control complexity by providing a single point of coordination rather than requiring complex peer-to-peer communication between pipelines
Data Source
AI summary
Systems, computer program products, and methods are described herein managing data retrieval flow rates using artificial intelligence engines. The present disclosure is configured to assign priority of individual data pipelines within an overseer data pipeline via a data pipeline controller, wherein the overseer data pipeline comprises a set of data pipelines, wherein the data pipeline controller utilizes an artificial intelligence engine; regulate a data flow rate for individual data pipelines within the overseer data pipeline via the data pipeline controller; compress data within the set of data pipelines within the overseer data pipeline; encrypt data within the set of data pipelines within the overseer data pipeline; pause individual data pipelines within the set of data pipelines upon receiving a signal; filter data within the overseer data pipeline; and validate data within the overseer data pipeline.