Managing data networks has always been complex but in recent years it’s become near impossible as there are more variables in play than ever and those variables are constantly changing.
In this guide, learn how Signiant’s intelligent transport architecture applies machine learning to the vast pool of metadata aggregated across our platform to automatically adapt to these continuously changing conditions offering the best possible performance on any IP network.
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And if you’d like to read any of the other installments in Signiant’s Metadata Series, which detail how Signiant’s Software-Defined Content Exchange (SDCX) architecture is uniquely positioned to work with metadata across disparate and distributed storage, you can find them here.
