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Data Quality Assessment Is Not All Roses. What Challenges Should You Be Aware Of?

KDnuggets

Of all data quality characteristics, we consider consistency and accuracy to be the most difficult ones to measure. Here, we describe the challenges that you may encounter and the ways to overcome them.

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Scaling de-duplication in WorldCat: Balancing AI innovation with cataloging care | OCLC

Flipboard

At OCLC, we’ve invested resources into a hybrid approach, leveraging AI to process vast amounts of data while ensuring catalogers and OCLC experts remain at the center of decision-making. From paper slips to machine learning Long before I joined OCLC, I worked in bibliographic data quality when de-duplication was entirely manual.

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Data mesh

Dataconomy

This shift aims to streamline analytics and data science initiatives, treating data as a product to improve overall efficiency. The origin of data mesh The concept of data mesh was introduced by Zhamak Dehghani at Thoughtworks in 2019.

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Know Your Data: Part 2

KDnuggets

To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

Building bridges : Think of a young developer who attended an AI conference back in 2019. The event is expected to cover various aspects related to data platforms, data governance, data contracts, and generative AI, focusing on designing effective data and AI products 4.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.