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Data Quality


What Spreadsheets Can Teach Us About Analytics

With the current explosion of analytics, the data management lessons we didn't learn with spreadsheets have returned with a vengeance. Help is at hand.

Data Digest: Model Accuracy and Energy Use

Why the accuracy of data and machine learning models might be in the eye of the beholder and the carbon costs of AI model training.

Data Digest: Future Data Scientists, Data Prep Problems, Data Science Hazards

One opinion on how data science jobs will change, a survey on current data preparation challenges, and three deadly sins to avoid in your data science practice.

Free Up Your Data Science Team with Augmented Data Management

To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.

Data Quality Best Practices for Today’s Data-Driven Organization

These four best practices will help ensure your data is of the highest quality.

Data Digest: Data Privacy Regulation, Data Protection Tactics, Regulating Medical AI

What’s coming in the U.S. for consumer data protection, what enterprises can do to protect their data, and how new regulation might affect medical devices that depend on machine learning.

CEO Q&A: Data Quality Problems Will Still Haunt Your Analytics Future

Data quality issues become even more important as machine learning use grows. DataOps and data wrangling help enterprises address this vital problem.

The Machine Learning Data Dilemma

Machine learning applications are dependent on, and sensitive to, the data they train on. These best practices will help you ensure that training data is of high quality.

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