Published On: August 12th, 2020Categories: Data Guide, ResourceBy 2.2 min read

The role of data quality in AI and ML — a full guide.

Artificial Intelligence (AI) and Machine Learning (ML) are becoming a prominent part of the business landscape as we continue to advance through the digital age. But is it as simple as plugging your data into some code? Are businesses missing out on the true potential of these powerful approaches to data science due to poor data quality?

In this guide, we aim to dissect the importance of high-quality data and the harm that can come from poor quality data, as they are used in AI and ML.

The guide covers

An overview of the current data landscape
The relationship between AI and data quality
How bad data harms AI and ML
How to achieve high data quality
Data quality and ROI

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