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Scaling Data Quality with Computer Vision on Spatial Data

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Its utility for data quality is evinced from some high profile use cases.

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State of Data Quality Report

insideBIGDATA

Bigeye, the data observability company, announced the results of its 2023 State of Data Quality survey. The report sheds light on the most pervasive problems in data quality today. The report, which was researched and authored by Bigeye, consisted of answers from 100 survey respondents.

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Cloud Migration Alone Won’t Solve Data Quality. Here’s Why CDOs Need a More Holistic Approach

insideBIGDATA

In this contributed article, Emmet Townsend, VP of Engineering at Inrupt, discusses how cloud migration is just one step to achieving comprehensive data quality programs, not the entire strategy.

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What is Data Quality in Machine Learning?

Analytics Vidhya

However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

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Overcome Your Data Quality Issues with Great Expectations

KDnuggets

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

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Data Quality Fundamentals Expert Panel

KDnuggets

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

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Data Quality: The Good, The Bad, and The Ugly

KDnuggets

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.