2010 Experimentation Risk 
The Unofficial Google Data Science Blog
JULY 22, 2020
One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.
CIO Business Intelligence
AUGUST 14, 2024
After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support. But experimentation to achieve significant results takes time. In the meantime, Boyd notes, OpenAI prices have significantly reduced. “In
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Ontotext
DECEMBER 30, 2022
9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010.
Ontotext
DECEMBER 30, 2022
9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010.
CIO Business Intelligence
FEBRUARY 14, 2024
People aren’t going back and decluttering because there’s no cost to that — except in your risk profile and your decreased search performance,” says Buckley. The same issues were revealed when Microsoft launched Delve, and before that when the FAST integration brought powerful search to SharePoint in 2010. But it was.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses.
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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