ACCENTURE GLOBAL SOLUTIONS LIMITED (20240345897). SYSTEM AND METHOD FOR CLOUD ARCHITECTURE DESIGN AND DIAGRAM GENERATION USING ARTIFICIAL INTELLIGENCE simplified abstract

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SYSTEM AND METHOD FOR CLOUD ARCHITECTURE DESIGN AND DIAGRAM GENERATION USING ARTIFICIAL INTELLIGENCE

Organization Name

ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor(s)

Manish Ahuja of Gadarpur (IN)

Swapnajeet Gon Choudhury of Bangalore (IN)

Kapil Singi of Bangalore (IN)

Kuntal Dey of Rampurhat (IN)

Vikrant Kaulgud of Pune (IN)

Adam Patten Burden of Tampa FL (US)

SYSTEM AND METHOD FOR CLOUD ARCHITECTURE DESIGN AND DIAGRAM GENERATION USING ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345897 titled 'SYSTEM AND METHOD FOR CLOUD ARCHITECTURE DESIGN AND DIAGRAM GENERATION USING ARTIFICIAL INTELLIGENCE

    • Simplified Explanation:**

The patent application describes an intelligent AI-based system for generating architecture diagrams for cloud computing-based infrastructures. The system can analyze requirement data, identify intents associated with the software, extract dependencies between software layers and microservices, and validate the architecture using a digital twin model.

    • Key Features and Innovation:**
  • Intelligent AI-based system for generating architecture diagrams for cloud computing-based infrastructures
  • Analysis of requirement data to identify intents associated with the software
  • Automatic extraction of dependencies between software layers and microservices
  • Validation of architecture using a digital twin model
  • Elimination of manual errors and variability based on human skill sets
  • Risk-free testing of the architecture based on application goals
    • Potential Applications:**

The technology can be applied in various industries such as IT, software development, cloud computing, and architecture design.

    • Problems Solved:**

The technology addresses the challenges of manual error-prone architecture diagram generation, variability based on human skill sets, and the need for risk-free testing of architectures.

    • Benefits:**
  • Improved accuracy and efficiency in generating architecture diagrams
  • Reduction of manual errors and variability
  • Risk-free testing of architectures based on application goals
  • Enhanced decision-making in software development and architecture design
    • Commercial Applications:**

The technology can be used by IT companies, software development firms, cloud service providers, and architecture firms to streamline the process of generating architecture diagrams for cloud computing-based infrastructures.

    • Prior Art:**

Readers can explore prior art related to AI-based systems for architecture diagram generation, cloud computing infrastructure design, and digital twin models.

    • Frequently Updated Research:**

Stay updated on the latest advancements in AI-based systems for architecture design, cloud computing technologies, and digital twin models.

    • Questions about AI-based Systems for Architecture Diagram Generation:**

1. How does the system analyze requirement data to identify intents associated with the software? 2. What are the potential applications of this technology in the IT and software development industries?


Original Abstract Submitted

intelligent ai-based systems and methods of generating architecture diagrams for cloud computing-based infrastructures. the system can ingest and process requirement data and identify intents associated with the software. based on the classifications of the requirement data, the system can automatically extract dependencies between software layers and microservices in order to identify the most appropriate components for the application. in some embodiments, validation can be performed in which a digital twin model is implemented. implementation of such as system can eliminate manual errors and variability based on human skill sets, as well as enable risk-free testing of the architecture based on the application goals.