Data science Libraries Metadata Tools 
IBM Big Data Hub
SEPTEMBER 20, 2022
Automated, integrated data science tools help build, deploy, and monitor AI models. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle. Processes that provide AI governance.
The Texas Record
FEBRUARY 2, 2021
The Archives and information services division at the Texas State Library and Archives Commission (TSLAC) has a sophisticated electronic records processes. What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff.
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ARMA International
SEPTEMBER 13, 2021
This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. This is a best-case scenario. Cloud-First.
The Texas Record
JANUARY 25, 2021
The Archives and information services division at the Texas State Library and Archives Commission (TSLAC) has a sophisticated electronic records processes. What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff.
IBM Big Data Hub
MAY 9, 2023
Our approach is to establish the right levels of rigor, process, technology, and tools to adapt in an agile fashion to an evolving legal and regulatory landscape. Developers can build workflows directly in our ModelOps environment using APIs, SDKs, and libraries, managing machine learning models from development to deployment.
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