CIO Business Intelligence

MARCH 8, 2023

Artificial intelligence (AI) projects are another useful example. Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 77

Manufacturing Business Objectives Cost-Benefit Optimization 77

CIO Business Intelligence

AUGUST 5, 2022

Artificial intelligence (AI) projects are another useful example. Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 86

IT Manufacturing Business Objectives Cost-Benefit 86

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 131

Management Internet of Things Statistics Data-driven 131

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. . Duplication of data also entails duplication of effort, which is an additional cost.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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