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Ensure High-Quality Data Powers Your AI.
- Source :
- Harvard Business Review Digital Articles; 8/12/2024, p1-10, 10p
- Publication Year :
- 2024
-
Abstract
- This article by Thomas C. Redman emphasizes the importance of high-quality data in powering artificial intelligence (AI) systems. It draws parallels between the financial crisis and the potential risks of AI, highlighting that good data science with bad data can lead to negative outcomes. The article discusses the need for clear problem definition, relevant and complete data, freedom from bias, timeliness, and appropriate exclusions in data quality. It also emphasizes the importance of management responsibilities and quality assurance in ensuring data accuracy and integrity. Redman suggests transitioning from dealing with bad data downstream to creating good data upstream through customer focus, clear management accountabilities, and involving people at all levels. The article concludes by stating that managing data properly is crucial as it becomes an asset with limitless potential when combined with AI. [Extracted from the article]
Details
- Language :
- English
- Database :
- Complementary Index
- Journal :
- Harvard Business Review Digital Articles
- Publication Type :
- Periodical
- Accession number :
- 179403803