18148988. AUGMENTING ROLES WITH METADATA simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

AUGMENTING ROLES WITH METADATA

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Madhusmita Patil of Hyderabad (IN)

Vivek Warrier of Bengaluru (IN)

Renjith Koorumullamkattil Mathew of Bangalore (IN)

Parag Sanjay Mhatre of Pen (IN)

Karanam Rakesh of Eluru (IN)

Ayushi Jain of Indore (IN)

Swati Anand of Noida (IN)

AUGMENTING ROLES WITH METADATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18148988 titled 'AUGMENTING ROLES WITH METADATA

• • Simplified Explanation:**

The patent application describes a computer hardware system that uses a machine learning engine to analyze role descriptions and infer competencies. These competencies are then matched with similar titles in a talent framework to identify relevant skills. The system aggregates and ranks these competencies, adjusts proficiency levels, and selects a set of competencies to augment the role description with metadata.

• • Key Features and Innovation:**
• Utilizes a machine learning engine to analyze role descriptions and infer competencies
• Matches competencies with similar titles in a talent framework
• Aggregates and ranks competencies based on similarity scores
• Adjusts proficiency levels based on band level and competency type
• Selects a set of competencies to augment role descriptions with metadata

• • Potential Applications:**

This technology can be applied in various industries for talent management, workforce planning, and skills development.

• • Problems Solved:**

Addresses the challenge of identifying relevant competencies and skills based on role descriptions in a talent framework.

• • Benefits:**
• Streamlines the process of matching competencies with role descriptions
• Improves talent management and workforce planning
• Enhances skills development and training programs

• • Commercial Applications:**
• "Enhanced Talent Management System Using Machine Learning Engine"
• This technology can be used by HR departments, recruitment agencies, and training organizations to optimize talent management processes and improve workforce planning.

• • Questions about the Technology:**

1. How does the machine learning engine analyze role descriptions to infer competencies? 2. What are the key factors considered when adjusting proficiency levels based on band level and competency type?

Original Abstract Submitted

A computer hardware system includes a machine learning engine and a hardware processor configured to perform the following executable operations. Text of a role description of a role having a role title is preprocessed. Competencies are inferred from the role description; using the machine learning engine. Competencies are identified from titles in a talent framework being similar to the title using the machine learning engine. The competencies are aggregated into an aggregation of competencies. The competencies in the aggregation are ordered based upon aggregated similarity scores. A proficiency level associated with each of the competencies in the aggregation is adjusted based upon band level and competency type. A plurality of competencies are selected. The role is augmented with metadata that includes the selected plurality of competencies and proficiency levels associated therewith.