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Improvements in Data Quality Could Yield Up to $42.1 Million for Healthcare Organizations

New research reveals the costly impact of bad data on staffing, decision-making, and clinical care.

Enabling Citizen Data Analysts in the Post-Hadoop World

The New Year will feature the fallout from the void left by Hadoop's decline.

Machine Learning to Power the Future of Streaming Analytics

The incredible amount of data that will be generated in the next few years demands help to manage, mostly in the form of machine learning algorithms.

Data Digest: AI in Healthcare, AI Pitfalls, and Edge AI

New applications and advice for using AI.

Q&A: The Fundamentals of Data Quality (Part 2 of 2)

In this Q&A, the authors of O'Reilly's first-ever book on data quality answer questions about how data teams are architecting systems for reliability and trustworthiness.

Data Stories: The Current State of COVID-19

The speed of the Omicron variant tearing around the world has data visualization makers struggling to keep up.

Data Digest: Analytics, AI, and Data Science in 2022

More predictions about the coming year from different parts of the data industry.

Q&A: The Fundamentals of Data Quality (Part 1 of 2)

In this Q&A, the authors of O'Reilly's first-ever book on data quality answer questions about how data teams are architecting systems for reliability and trustworthiness.

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