Andrew White

MAY 4, 2020

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. The models are practically useless. Everything 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. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

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. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

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. 2 in frequency in proposal topics; a related term, “models,” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

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