CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. 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.

Machine Learning 99

Machine Learning Data Architecture Uncertainty Data-driven 99

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. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. One of the primary sources of tension?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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. automated retirement portfolio rebalancing and maximized ROI).

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290

CIO Business Intelligence

AUGUST 7, 2023

Foundry / State of the CIO That distinct view, coupled with ongoing pressure to accelerate digital business brought on by pandemic-era changes and economic uncertainties , have launched CIOs into the change management hot seat.

IT 85

IT Sales Manufacturing Cost-Benefit 85

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. These predictive posterior distributions have many uses such as in multi-armed bandit problems. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40