CIO Business Intelligence

AUGUST 24, 2023

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. Companies in general are still having problems with data governance.”

Uncertainty 97

Uncertainty Risk Testing Enterprise 97

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Bias should be identified and either reduced or eliminated from data sets when possible. Uncertainty is a measure of our confidence in the predictions made by a system. System Design. Human Judgement & Oversight. Impact and confidence intervals.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 132

Management Internet of Things Statistics Data-driven 132

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. They have too many different data sources and too much inconsistent data. Organizations are flunking Data Governance 101.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

Jen Stirrup

NOVEMBER 15, 2022

However, the thrust here is not to diminish data science or data engineering. It is a massive orchestration of pulling data from multiple systems, organizing it, and ensuring that it is all categorized as data governance and policy. Data strategy in a VUCA environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109