2006 Big Data Uncertainty 
Cloudera
OCTOBER 3, 2018
That team delivered the first production cluster in 2006 and continued to improve it in the years that followed. In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. It staffed up a team to drive Hadoop forward, and hired Doug.
The Unofficial Google Data Science Blog
MARCH 31, 2016
Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Cambridge University Press, (2006). [2]
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Domino Data Lab
JULY 22, 2019
By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.
datapine
DECEMBER 28, 2021
With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Transparency and Data-Driven Business Solutions. That’s what’s going on in your organization.”.
The Unofficial Google Data Science Blog
MARCH 24, 2025
Of course, addressing ambiguity is a key aspect of data science. As past posts on this blog have discussed, there are statistical as well as semantic aspects to uncertainty [refs]. This problem of characterizing and quantifying uncertainty takes on a particular form when the data is that of human judgments (see [ref]).
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