Remove Forecasting Remove Measurement Remove Uncertainty
article thumbnail

Dell cuts jobs amid growing economic uncertainties

CIO Business Intelligence

In its latest filing, the company said it continued executing cost management measures, “including limiting external hiring, employee reorganizations, and other actions” to align its investments with strategic priorities and customer needs. These actions resulted in a reduction in overall headcount.

article thumbnail

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Importance of Agility in FP&A To Manage Uncertainty

Jedox

Times of crisis mean uncertainty, both personally and professionally. In this blog post, we’ll look at the importance of agility in FP&A in being able to better manage uncertainties, even during uncertain times and build resilience for the future. Business Continuity. Better agility increases resiliency.

article thumbnail

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

article thumbnail

Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

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. Would you put your client’s sales forecast into Facebook?

article thumbnail

Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

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.

article thumbnail

Rolling Forecasts: The Pros and Cons

Jedox

In our previous blog post, “ What are Rolling Forecasts? ” we covered forecasting and rolling forecasts in general. In our second post in this series, we look at the pros and cons of introducing rolling forecasts for your organization. Year-end forecasts help to make decisions in order to achieve annual goals.