CIO Business Intelligence
AUGUST 1, 2022
SAP introduced S/4HANA in 2015, expecting its existing base of 35,000 customers (as estimated by Gartner) to convert to the new ERP system. Uncertainty over HANA transition period. However, SAP’s earnings disclosure show that S/4HANA has been attracting more new users rather than existing SAP ERP customers.
O'Reilly on Data
JANUARY 22, 2019
All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters. Financial models need a framework that quantifies the uncertainty inherent in predictions of time-variant stochastic processes.
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Cloudera
SEPTEMBER 29, 2021
In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.
Cloudera
MARCH 2, 2018
Bridgespan Group estimated in 2015 that only 6% of nonprofits use data to drive improvements in their work. For example, applying machine learning to wind forecasting is expected to reduce uncertainty in wind energy production by more than 45% and will allow utilities to integrate wind more easily with traditional forms of power supply.
The Unofficial Google Data Science Blog
APRIL 23, 2024
Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?
Data Science and Beyond
JULY 28, 2017
I decided to apply for a data wrangler position with Automattic in October 2015. I wasn’t in a huge rush to find a job, but in December 2015 I decided to accept an offer to become the head of data science at Car Next Door. Step 1: Do background research and apply.
The Unofficial Google Data Science Blog
JULY 22, 2020
For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. 2015): 37-45. [3] 2] Scott, Steven L.
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