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Data Quality vs Data Condition: The Power of Context

Anmut

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

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9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. If you are going to lean on data, you want to understand its quality.

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The Rise of Unstructured Data

Cloudera

Since learning with labeled data is known as supervised learning, methods that reduce the need for labels have names such as self-supervision, semi-supervision, weak-supervision, non-supervision, incidental-supervision, few-shot learning, and zero-shot learning. Data curation. months since 2012.

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Why you should care about debugging machine learning models

O'Reilly on Data

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible.

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Swiss Federal Railways CIO relies more on AI than concrete

CIO Business Intelligence

The third part of the program, asset management, is intended to reduce material wear and tear, and make better use of the workshops. They are filmed with the help of a measuring vehicle that drives over them at 120 km/h and their condition is evaluated. “If In this example, its use accounted for less than €300,000.

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10 master data management certifications that will pay off

CIO Business Intelligence

That’s where MDM comes in to help create a single version of truth across all copies of master data to ensure data values are aligned. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. Informatica Master Data Management 10.3

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered. and quality (how does this impact service delivery, business process and data quality?).