System and method for predictive analysis of technology infrastructure requirements

A system comprising:

• a computing system comprising one or more processors and a data storage system in communication with the one or more processors, wherein the data storage system comprises instructions thereon that, when executed by the one or more processors, causes the one or more processors to:
• receive a product roadmap input indicating technological requirements of an enterprise;
• analyze the product roadmap input to locate and extract capacity data from the product roadmap input;
• predict, using machine learning including a machine learning model, technology infrastructure capacity requirements for the enterprise based on the capacity data;
• retrain the machine learning model based on training data using a closed loop system,
• wherein the predicted technology infrastructure capacity requirements obtained using the machine learning model during operation are used to improve the training data, generate a revised machine learning model using the improved training data, validate the technology infrastructure capacity requirements using the revised machine learning model:
• determine technological resources to meet the technology infrastructure capacity requirements;
• and
• when the technology infrastructure capacity requirements are validated, automatically provision the technological resources to meet the technology infrastructure capacity requirements.

A non-transitory computer-readable storage medium, the non- transitory computer-readable storage medium including instructions that, when executed by computers, cause the computers to perform operations of:

• receiving a product roadmap input indicating technological requirements of an enterprise:
• analyzing the product roadmap input to locate and extract capacity data from the product roadmap input;
• predicting, using machine learning including a machine learning model, technology infrastructure capacity requirements for the enterprise based on the capacity data;
• retraining the machine learning model based on training data using a closed loop system, wherein the predicted technology infrastructure capacity requirements obtained using the machine learning model during operation are used to improve the training data,
• generating a revised machine learning model using the improved training data:
• validating the technology infrastructure capacity requirements using the revised machine learning model;
• determining technological resources to meet the technology infrastructure capacity requirements;
• and
• when the technology infrastructure capacity requirements are validated, automatically provisioning the technological resources to meet the technology infrastructure capacity requirements.