Enterprise management system using artificial intelligence and machine learning for technology analysis and integration

US11973657B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Rajendra T. Prasad · Kanchinakote, IN
• Bhaskar Ghosh · Bengaluru, IN
• Aditi KULKARNI · Bengaluru, IN
• Koushik M. VIJAYARAGHAVAN · Chennai, IN
• Purnima Jagannathan · Chennai, IN
• Parul JAGTAP · Delhi, IN
• Sangeetha Jayaram · Mumbai, IN
• Badrinath Parameswar · Chennai, IN
• Manas Mishra · Kanpur, IN
• Jeffson Felix Dsouza · Bengaluru, IN
• Gaurav Goenka · New Delhi, IN
• Gaurav Sood · Houston, US
• Pradeep Senapati · Bengaluru, IN
• Vaijayanthi Ramaswamy · Chennai, IN
• Ranjith THARAYIL · Thrissur, IN
• Mahesh Zurale · Pune, IN
• Ramanathan Venkataraman · Rockleigh, US

Key dates

• Filing date: Oct 21, 2020
• Grant date: Apr 30, 2024
• Expiry date: Jan 22, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A system may receive enterprise information associated with a client enterprise. The system may select, using an industry analysis model, a set of queries associated with obtaining status information that is associated with a technology profile of the client enterprise. The system may generate client data that is associated with the enterprise information and the status information. The system may convert, using a matrix factorization technique, the client data associated with the client enterprise to a client matrix. The system may convert, using the matrix factorization technique, reference data associated with reference enterprises to a reference matrix. The system may determine, based on a comparison of the client matrix and the reference matrix, a set of scores associated with technology metrics of the technology profile. The system may perform an action associated with the client enterprise based on the set of scores.