IBM Big Data Hub

SEPTEMBER 28, 2023

This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.

Testing 92

Testing Finance Enterprise Modeling 92

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 332

Management Machine Learning Experimentation Metrics 332

Domino Data Lab

MAY 15, 2019

He also recommends that PMs refrain from “endless UI changes” on ML projects before the product is put before users because “seemingly small UI changes may result in significant back end ML engineering work” that may put the overall project at risk. Addressing the Uncertainty that ML Adds to Product Roadmaps.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

JULY 17, 2023

Picture years and years of paper Until recently, ZEISS’s highly regulated manufacturing environment relied heavily on two documentation types: Digital History Records (DHR) to validate data for compliance and Work Instruction documentation to stipulate the required steps in performing specific activities. Reams of it, in fact.

Manufacturing 78

Manufacturing Snapshot Uncertainty Digital Transformation 78

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity!

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world.

Uncertainty 275

Uncertainty Testing Risk Reporting 275