O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.” What delivers the greatest ROI?

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

JANUARY 4, 2023

Though composable infrastructure may remove the restrictions of traditional architectures, there’s debate [3] about whether it can scale and whether the ROI would be reached by increased flexibility and utilization. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements. frequency (how many occurrences?), time (how much time is lost?)

Data-driven 92

Data-driven IT Measurement Cost-Benefit 92

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110