Hewlett Packard Enterprise Ushers in Next Era in AI Innovation with Swarm Learning Solution Built for the Edge and Distributed Sites
Summary
By training models and harnessing insights at the edge, businesses can make decisions faster, at the point of impact, leading to better experiences and outcomes. Additionally, by sharing learnings from one organization to another at the data source, various industries across the world can unite and further improve intelligence that can lead to tremendous business and societal outcomes. “Swarmifying” data to empower AI for the greater good HPE Swarm Learning can help a range of organizations to collaborate and improve insights: • Hospitals can derive learnings from imaging records, CT and MRI scans, and gene expression data to be shared from one hospital to another to improve diagnostics of diseases and other ailments, while protecting patient information. TigerGraph advances anomaly detection to help banks fight credit card fraud TigerGraph, provider of a leading graph analytics platform, combines HPE Swarm Learning with its data analytics offering running on HPE ProLiant servers using AMD EPYC™ processors to augment efforts in quickly detecting unusual activity in credit card transactions. The combined solution increases accuracy when training machine learning models from vast quantities of financial data from multiple banks and branches, across geological locations.
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