April 25, 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

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

Author: DATAVERSITY via YouTube
Go to Source
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.

Go to Source