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

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers.

Uncertainty 97

Uncertainty Manufacturing Data-driven Business Intelligence 97

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers.

Uncertainty 97

Uncertainty Manufacturing Data-driven Business Intelligence 97

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 221) to 2019 (No. 40; it peaked at Strata NY 2018 at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Boiling all the information down to a single model does not help us challenge to what degree we think the future will differ from the past. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie.

Risk 67

Risk ROI Modeling Metrics 67