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While historical analytics has been useful for businesses, true innovation rests in the next wave of analytics—real-time streaming analytics models that are driven by adaptive AI and machine learning engines.
But analyzing data in real-time is much harder than historical data. Not only do you need to develop an analytics model that can analyze data rapidly and in multiple formats, you also need to build a data architecture that can stream data to this model as it is generated.
Read this white paper to learn more about implementing hyperconverged analytics, which integrate visual analytics, data science, and streaming analytics, and using them to create instantaneous value from your data.