Anmut

OCTOBER 29, 2020

As a result, concerns of data governance and data quality were ignored. The direct consequence of bad quality data is misinformed decision making based on inaccurate information; the quality of the solutions is driven by the quality of the data. COVID-19 exposes shortcomings in data management.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might have millions of short videos , with user ratings and limited metadata about the creators or content. Models within AI products change the same world they try to predict.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

MARCH 29, 2022

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . You have data but don’t use it. Why does valuable data so often go unused?

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty. How can you trace that all the way back into the data collection? You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109