US 11,868,930 B2
Evaluating organizational skills using cognitive computing to determine cost of entering a new market
Lucia Larise Stavarache, Columbus, OH (US); Sandeep Sukhija, Rajasthan (IN); Grigorij Kaplan, Vilnius (LT); Stan Kevin Daley, Espanola, NM (US); Harish Bharti, Pune (IN); and Jurgis Mikucionis, Vilnius (LT)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jan. 4, 2022, as Appl. No. 17/568,363.
Prior Publication US 2023/0214736 A1, Jul. 6, 2023
Int. Cl. G06Q 10/06 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/0637 (2023.01)
CPC G06Q 10/063112 (2013.01) [G06Q 10/06315 (2013.01); G06Q 10/06375 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for training a machine learning neural network for determining gaps in skills for entering a new market using cognitive computing, comprising:
creating a first data set defining required skills of an organization from a logical representation of a component business model based on a current business strategy;
creating a second data set linking core business capabilities and processes to the required skills and distribution of skill maturity levels from the logical representation of a component business model;
training a machine learning neural network on the first and second data sets to define current skills of an organization based on the current business strategy using a cognitive computing processor device;
determining a required ratio of skills of three technology horizons to define a plurality of skill classes of the required skills of the organization using the cognitive computing processor device;
training the machine learning neural network on the required ratio of skills to define current skill profiles of the organization based on the plurality of skill classes using the cognitive computing processor device;
training the machine learning neural network to determine at least one first skill gap between the required skills of the organization and the current skill profiles, using the cognitive computing processor device;
creating a third data set comprising skills required for a new business strategy for the organization from a logical representation of a component business model based on the new business strategy, using the cognitive computing processor device; and
training the machine learning neural network on the third data set to determine at least one second skill gap between the skills required for the new business strategy and the current skill profiles, using the cognitive computing processor device.