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Successful AI relies on a large corpus of data, the requisite algorithms, expert data scientists with appropriate skills, and appropriate compute resources. The latter means not just physical and virtual server infrastructure, but also data management and database software designed to support data processing and analytics.

Data management is a critical enabler of ML projects because it helps overcome challenges such as accessing and preparing data, which can be a significant barrier to success. View the results of 451 Research’s Voice of the Enterprise: AI & Machine Learning survey here, which explains why 33% of respondents cited accessing and preparing data as a barrier the use of machine learning.

Vendor:

IBM

Posted:

Feb 8, 2021

Published:

Jul 31, 2019

Format:

PDF

Type:

Analyst Report