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While open-source tools can deliver powerful business capabilities, many organizations lack the security protocols or governance tools necessary to safely use open-source software (OSS) in data science – putting customer data at risk and making room for vulnerabilities to creep into their models over time.

Data science leaders must collaborate with IT and security leaders to take charge of their open-source data science and machine learning (ML) pipelines. Together, these leaders can increase the flow of innovative models through production while safeguarding against technical and legal risk. Read on to learn how.

Vendor:

Anaconda

Posted:

Apr 26, 2023

Published:

Apr 26, 2023

Format:

HTML

Type:

White Paper