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Patent drawing for Machine learning methods and systems for cataloging and making recommendations based on domain-specific knowledge
US 12,045,756 B2
Machine learning US 12,045,756 B2 Not in force

Machine learning methods and systems for cataloging and making recommendations based on domain-specific knowledge

This invention describes a system that uses machine learning to help organizations manage their compliance with various rules and standards. It gathers information about business regulations and policies, then uses AI to understand an organization's current situation and desired future state, often by asking questions through a questionnaire. Based on this analysis, it recommends specific regulations or policies to follow and suggests different cloud computing strategies for migrating their systems to meet those future requirements.

Why it matters: Filed before the widespread adoption of advanced Large Language Models. These models could significantly enhance the knowledge acquisition and rule extraction for cataloging, and improve the recommendation accuracy for regulations and cloud migration strategies.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedMachine learning, data engineering, cloud architecture software

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