Domino Data Lab
AUGUST 6, 2021
Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?
Alation
DECEMBER 20, 2022
No place is the risk higher than data. These organizations use experimentation and constant market testing to learn and invest. This issue is why balanced scorecards have a forward component called “learn and grow.” The change can fail and reveal insights into the organization that leads to better future transformation.” Parting Words.
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Jet Global
DECEMBER 31, 2019
If there is no advantage to taking a risk—knowing that failure is a possibility—an individual will assume business as normal. Organizations need to become really comfortable with experimentation. The innovation process, where experimentation might live in an organization, has grown in popularity in the last few years.
CIO Business Intelligence
OCTOBER 26, 2022
Speaking at industry events, connecting with colleagues, and writing articles and white papers are just a few of the ways CIOs can build their brand. They need to become more creative in their delegation of responsibilities so that more time can be devoted to pushing experimentation,” Mains advises.
Occam's Razor
MARCH 23, 2010
For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?
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