TDWI Articles

Data Digest: Value, Consistency, and Privacy for Machine Learning

Supporting real-time applications, keeping model performance high, and protecting training data.

 

Supporting ML and Real-Time Data

The benefits of data architecture that can deliver real-time, ML-driven applications.

Read more at CIO


Maintaining ML Models

Machine learning models need to be monitored in production in order to stay reliable.

Read more at InfoWorld


Privacy and Machine Learning

How to protect sensitive data when training ML systems.

Read more at Dark Reading


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