Blockchain analytics and artificial intelligence

【Author】 Dillenberger, D. N.; Novotny, P.; Zhang, Q.; Jayachandran, P.; Gupta, H.; Hans, S.; Verma, D.; Chakraborty, S.; Thomas, J. J.; Walli, M. M.; Vaculin, R.; Sarpatwar, K.

【Source】IBM JOURNAL OF RESEARCH AND DEVELOPMENT

【影响因子】2.605

【Abstract】Blockchain records track information about financial payments, movements of products through supply chains, identity verification information, and many other assets. Analytics on this data can provide provenance histories, predictive planning, fraud identification, and regulatory compliance. In this paper, we describe analytics engines connected to blockchains to provide easy-to-use configurable dashboards, predictive models, provenance histories, and compliance checking. We also describe how blockchain data can be combined with external data sources for secure and private analytics, enable artificial intelligence (AI) model creation over geographically dispersed data, and create a history of model creation enabling provenance and lineage tracking for trusted AI.

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【发表时间】2019 MAR-MAY

【收录时间】2022-01-02

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