November 17, 2024
Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks

Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks

Author: DATAVERSITY via YouTube
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Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks

Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.

In this research-based session, I’ll discuss what the components are in multiple modern enterprise analytics stacks (i.e., dedicated compute, storage, data integration, streaming, etc.) and focus on total cost of ownership.

A complete machine learning infrastructure cost for the first modern use case at a midsize to large enterprise will be anywhere from $3 million to $22 million. Get this data point as you take the next steps on your journey into the highest spend and return item for most companies in the next several years.

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