Business Intelligence, Predictive Modeling, Uncertainty and Visualization

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

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. Given this, it’s crucial to have in Place meticulous testing protocols for the results of models, visualizations, data delivery mechanisms, and overall data utilization.

Testing

Testing Data Quality Predictive Modeling Metrics

Topics to watch at the Strata Data Conference in New York 2019

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. If anything, this focus has shifted to the ML or predictive model.

IoT

IoT Big Data Data Warehouse Uncertainty

Data Leaders Brief

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

Topics to watch at the Strata Data Conference in New York 2019

Webinars

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