Domino Data Lab

JULY 2, 2019

One-size-fits-all (OSFA) is a harmful myth in data science work, and no one data framework will fit all of your use cases and needs. several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides. With me so far?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . GitHub – A provider of Internet hosting for software development and version control using Git. Process Analytics.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

AUGUST 1, 2023

But with all the excitement and hype, it’s easy for employees to invest time in AI tools that compromise confidential data or for managers to select shadow AI tools that haven’t been through security, data governance, and other vendor compliance reviews.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98