Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. There’s a lot of overlap between these factors.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Andrew White

MAY 4, 2020

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. The models are practically useless. Oh, and by the way, you now have less time to make the decisions (see How to Manage Your Predictive Models During the Pandemic’s Rapid Changes ).

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Data engineers ensure that all the ingested, processed, and transformed data culminates in actionable, reliable products—be it a predictive model, a dashboard, or a data export.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

OCTOBER 4, 2022

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. Data Architecture, IT Leadership

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115