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The Data-Centric Approach & How Improving Data Quality Enables Impactful AI

The Data-Centric Approach & How Improving Data Quality Enables Impactful AI

Technology leaders can gain competitive advantage by focusing on improving data quality. A focus on data quality enables impactful new use cases for machine learning algorithms. If leaders neglect data quality and focus more on their models, they may make ineffective technology investments and fall behind their competition.

In this Horizon Report, Stratascale (an SHI company) provides detailed insights into how organizations should:

  1. Inspect and thoroughly prepare datasets
  2. Match model complexity to volume and variability of data
  3. Employ strategic data collection and labeling in sourcing activities

To learn more, read the full report.

Lead Research Analyst – Data Intelligence

With a background in data analytics, financial planning and analysis, and economics, Joe Granick has focused on optimized decision making by leveraging statistics, mathematics, and machine learning.

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