{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11257073","patent":{"patent_number":"US-11257073","title":"Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment","assignee":null,"inventors":[],"filing_date":"2018-10-31T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q","H04L","H04L","H04L","H04L"],"num_claims":26,"abstract":"Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment are described herein. For example, according to one embodiment there is a system having at least a processor and a memory therein executing within a host organization and having therein: means for operating a blockchain interface to a blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain; receiving historical data from each of the participating nodes on the blockchain; generating a new machine learning model at the host organization by inputting the historical data received from the participating nodes into a neural network of a machine learning platform operating at the host organization; receiving a consensus agreement from the plurality of participating nodes; deploying the new machine learning model to the participating nodes as a component of a smart contract to be executed in fulfillment of the smart contract transactions; receiving a transaction at the blockchain and responsively triggering the smart contract to process the transaction onto the blockchain; and executing the smart contract which includes executing the new machine learning model as part of the smart contract. Other related embodiments are disclosed."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment","description":"Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment are described herein. For ex","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11257073","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11257073","citation_suggestion":"Patentable. \"Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment\" (US-11257073). https://patentable.app/patents/US-11257073","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11257073","json":"https://patentable.app/api/llm-context/US-11257073","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:56:01.445Z"}