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. The AGI would need to handle uncertainty and make decisions with incomplete information. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. They may result from launches, logging changes, or external events. Moreover, the randomness in such series is high as competitive actions and reactions cannot be accurately predicted and as unforeseen events (e.g.,

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Timo Elliott

JANUARY 18, 2021

Data has always been important for organizations, but now, faced with so much uncertainty, everybody is interested in having more. There have been so many of these events that come out of nowhere. Timo: Thank y ou everybody for attending this event, and good luck with your projects!

IT 76

IT Dashboards Digital Transformation Data-driven 76

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Peter James Thomas

AUGUST 12, 2018

It is entirely feasible that some market event occurs this year ( for example the entrance or exit of a competitor, or the launch of a new competitor product) which would render prior year figures a poor guide. Integrity of statistical estimates based on Data. Here a distribution has been fitted to the business event being modelled.

Metrics 49

Metrics Statistics Data Quality Measurement 49

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. In an increasingly dynamic world, the predictability of events is low.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

The Unofficial Google Data Science Blog

MAY 31, 2016

How can we connect an event of purchase to the event of perceiving the ad if the purchase does not happen immediately? Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. For example, $beta_2 = 3.1$

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. 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.

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

SEPTEMBER 4, 2023

16) Interactive Visualization Of The Exponential Spread Of COVID-19 **click image for source** The COVID-19 pandemic paralyzed the entire world with fear and uncertainty, probably more than any other event we’ve experienced in the past few decades.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Jet Global

OCTOBER 18, 2021

Factory shutdowns, shipping bottlenecks, and shortages of raw materials have led to substantial uncertainty for businesses seeking to address the vicissitudes of supply-side availability. Walmart, which is famous for the efficiency of its supply chain management practices, frequently repositions inventory based on regional events.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52