AI Self-Governing Infrastructure for Data Center Automation

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Solution Overview

Problem

Large-infrastructure entities face complexities and inefficiencies in managing physical and virtual devices within data centers, including high lead times, resource-intensive team engagements, and frequent reworking of plans.

Innovation Solution

The implementation of AI-equipped intelligent systems that commission devices based on design specifications, engage required teams through auto-generated tickets, conduct quality checks, and monitor for design modifications, thereby reducing errors and inefficiencies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual team engagements are used to manage infrastructure builds, then flexibility and adaptability are maintained, but lead times increase and resource consumption increases

Engineering Contradiction:

ImproveadaptabilityVSAvoidlead time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system enables self-service automation where the infrastructure management system automatically performs provisioning, configuration, and certification tasks without requiring manual team engagement at each step, thereby reducing lead times while maintaining adaptability through programmable workflows

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-configuring infrastructure templates, pre-validating designs against compliance rules, and pre-provisioning resources based on predictive analytics, which accelerates the overall build process while maintaining flexibility through customizable template designs

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If manual team engagements are used to manage infrastructure builds, then complex requirements can be handled, but resource consumption increases

Engineering Contradiction:

Improvecomplexity handling capabilityVSAvoidresource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system replaces manual mechanical team engagements with automated software-based infrastructure as code (IaC) workflows, using machine-executable scripts and automation engines to provision and configure infrastructure, thereby reducing human resource consumption while maintaining the ability to handle complex requirements through programmable logic

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements universal automation platforms that can handle multiple infrastructure types (networking, storage, computing) and various build scenarios through a single unified interface, reducing the need for specialized manual teams for each function while maintaining expertise through standardized best practices embedded in the automation

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If manual infrastructure management is used, then design modifications can be accommodated, but reworking frequency increases

Engineering Contradiction:

Improvedesign modification capabilityVSAvoidreworking frequency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system implements continuous feedback loops where automated compliance validation, configuration drift detection, and predictive analytics continuously monitor infrastructure builds and provide real-time feedback, enabling early detection of design issues and automatic suggestions for corrections, thereby reducing reworking frequency while maintaining design flexibility

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system employs dynamic infrastructure-as-code templates that can be programmatically modified and version-controlled, allowing design changes to be automatically propagated through the infrastructure stack with automated validation at each stage, reducing manual reworking while maintaining adaptability to design modifications

Inventive Principle:

Principle #15Dynamics

4Productivity

If AI automation is implemented to reduce lead times, then productivity increases, but system complexity increases

Engineering Contradiction:

Improvebuild speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system introduces intermediary abstraction layers including infrastructure-as-code templates, configuration management tools, and automated compliance validation layers that mediate between high-level design intentions and low-level implementation details, simplifying the user interface while enabling complex automated processes in the background

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250036821A1Artificial intelligence (AI)-based self-governing infrastructure

Publication Date: 2025.01.30 BANK OF AMERICA CORP

AI summary

A method of using an Artificial Intelligence (AI) self-governing infrastructure design, is provided. The method provides an AI-aware, self-governing, infrastructure design which prompts the design to requisition constituent components required for a build-out of the design. In response to the prompting, the method may include using the design to initiate a plurality of tickets. The plurality of tickets procures constituent components and confirms that the initiated tickets are sufficient to place the design in a condition of viability. Following the fulfillment of the tickets, the infrastructure self-certifies operability and seeks end-user acceptance of the operability of the build-out. The design is maintained as decision-making capable, and further configured to selectively receive human intervention. The human intervention enables design customization. The design manages physical shutdown of ports and connections, creates a second plurality of tickets for taking pre-determined entries off the design record and schedules decommissioning of existing constituents.