Jedox

OCTOBER 8, 2020

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. The oil collapse of 2014 is another example of the importance of scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Smart Data Collective

FEBRUARY 23, 2022

Back in 2014, Gordon Hui wrote an article in Harvard Business Review about the ways the Internet of Things changes business models. It brings uncertainty and forces you out of your little bubble. Sure, employees seldom accept change readily and are prone to resist organizational transformations caused by new technological changes.

IoT 128

IoT Internet of Things Data-driven Uncertainty 128

CIO Business Intelligence

APRIL 12, 2023

While customers worried about the uncertainty of orders being filled, customer service representatives were required to navigate through 10 different systems and data sources for answers. Since 2014, though, Blue Diamond had been working with enterprise resource planning (ERP) software leader SAP.

IT 72

IT Uncertainty Forecasting Data-driven 72

DataRobot

MARCH 29, 2021

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. He returned as executive chairman in 2014 to help lead the turnaround of the now independent company.

Uncertainty 52

Uncertainty Data Processing Forecasting Machine Learning 52

The Unofficial Google Data Science Blog

JULY 11, 2017

Example 1: Nowcasting Scott and Varian (2014, 2015) used structural time series models to show how Google search data can be used to improve short term forecasts ("nowcasts") of economic time series. Figure 1 shows the motivating data set from Scott and Varian (2014), which is also included with the bsts package.

Forecasting 66

Forecasting Statistics Modeling Software 66

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?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. The data contains measurements of electric power consumption in different households for the year 2014. Prepare the data Refer to the following notebook for the steps needed to create this use case.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90