Reporting Statistics Testing Uncertainty 
CIO Business Intelligence
AUGUST 24, 2023
It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. With AI, their users can get extremely smart research assistants.
The Unofficial Google Data Science Blog
DECEMBER 14, 2021
by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.
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CIO Business Intelligence
NOVEMBER 14, 2022
A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. Commonly used models include: Statistical models. Data-driven DSS. SAP BusinessObjects. TIBCO Spotfire.
Juice Analytics
APRIL 17, 2020
Here’s snapshot of a recent search: As Harry Stevens, Washington Post reporter (responsible for that amazing “flatten the curve” story ) pointed out in the round table: “ the truth is that a million cases happened weeks before the official count passed that number and so we’re not reporting on reality, but we’re reporting on the numbers. ”
Sisense
OCTOBER 6, 2020
Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. This is quantitative data.
IBM Big Data Hub
APRIL 18, 2024
LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads.
The Unofficial Google Data Science Blog
APRIL 23, 2024
If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Crucially, it takes into account the uncertainty inherent in our experiments.
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