2017 Forecasting Risk Uncertainty 
IBM Big Data Hub
FEBRUARY 20, 2024
The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.
The Unofficial Google Data Science Blog
APRIL 17, 2017
by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.
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O'Reilly on Data
JANUARY 22, 2019
All models, therefore, need to quantify the uncertainty inherent in their predictions. Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market.
Jet Global
OCTOBER 8, 2020
Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 2: Improving accounts receivable procedures.
CIO Business Intelligence
FEBRUARY 27, 2023
The IT sector in Ukraine had stabilized after the 2014 Russian incursion with growth accelerating beginning in 2017 and “supercharging” in 2020 and 2021, says Katie Gove, senior director-analyst in Gartner’s Technology and Service Provider Research division. Gartner forecasts no end in sight for the global talent crunch.
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