Utilizing machine learning and natural language generation models to generate a digitized dynamic client solution

US12182858B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Deepa Yendigeri · Pune, IN
• Abhijeet Purushottam Patankar · Denton, US
• Rajesh Kumar Singh · Patna, IN
• Trupti Jay Kapadia · Thane, IN
• Anu Gupta · Mumbai, IN
• Abhimanyu Sirothia · Mumbai, IN
• Manoj Kumar · Austin, US
• Swathi K Gupta · Chennai, IN
• Manisha Mallick · Burmu, IN
• Subhra Mukherjee · Gadh Bengal, IN
• Chaya Kolhar · Kanchinakote, IN

Key dates

• Filing date: Nov 8, 2021
• Grant date: Dec 31, 2024
• Expiry date: Feb 11, 2043

Classification

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

Abstract

A device may receive historical project data identifying experiences and/or work product from previous projects and client data identifying a client with a problem, and may process the historical project data and the client data, with machine learning models, to generate recommendations for the problem and confidence scores for the recommendations. The device may process the recommendations and the confidence scores, with an NLG model, to generate a solution to the problem and content for the solution, and may generate a digitized dynamic client solution to the problem based on the solution and the content. The device may provide the digitized dynamic client solution to a user device, and may receive feedback on the digitized dynamic client solution from the user device. The device may generate a final digitized dynamic client solution based on the feedback, and may perform actions based on the final digitized dynamic client solution.