From the course: Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives
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What executives should know about synthetic data
From the course: Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives
What executives should know about synthetic data
- In order to transform data from a liability to an asset, using synthetic data instead of your real data is one of the three key actions that AI and data leaders should take, according to Gartner. AI-generated synthetic data is widely seen as the key enabler for privacy-preserving AI and data-driven innovation. What is it, you might wonder? It's a deep learning-based anonymization technology that allows you to anonymize big data while retaining near-perfect data utility. Synthetic data is also the only anonymization technology out there that can unlock your most valuable data assets in a safe manner. Behavioral customer data, which is impossible to anonymize with legacy anonymization techniques like masking or obfuscation. Due to all that, synthetic data's an enabling technology that belongs in every modern data stack. It empowers your teams with easy-to-access, granular, statistically highly representative data that…
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Contents
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What executives should know about synthetic data5m 2s
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How to tie synthetic data to your strategic objectives6m 3s
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Best practices for introducing synthetic data6m 7s
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Measuring the business impact of synthetic data3m 1s
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Building trust in synthetic data3m 31s
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