Using HPE AI and Machine Learning  This is an important and exciting distinction for organizations that are working on critical projects using machine learning and AI technologies, particularly in heavily-regulated markets where data privacy is paramount, such as banking, finance, and healthcare. This is due to the HPE Swarm Learning technology developed by Hewlett Packard Labs, HPE’s RD organization, which lets customers use containers that are easily integrated with AI models using the HPE Swarm API. HPE Swarm Learning then uses blockchain technology to catalog and analyze the modeling data and essentially decouple it from its identifying factors so it can be used at the edge or elsewhere without traditional data privacy concerns. That core data, without its privacy concerns, is then used by the models to reach their conclusions and analyses based on the learnings of the raw data. Those newly-created AI model “learnings” can then be immediately shared inside or outside an organization and with industry peers to HP HPE2-N69 Exam Dumps improve training without sharing the actual data being used in the models. Think about that for a moment – this can be accomplished without sharing the actual data. This is a huge benefit when it comes to enterprise data security and privacy concerns that are omnipresent in the minds of every enterprise IT leader. By only sharing the learnings from the processing of the AI models, HPE Swarm Learning allows users to leverage large training datasets without constant concerns about data privacy. I see this as a development that could inspire even broader use of AI and machine learning capabilities in the enterprise, especially in markets where data privacy is even more critical.

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