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The Real Deal About Synthetic Data /
It's often difficult to access the real-world data needed to train models or gain insights, due to privacy and security concerns or simply process issues. However, new AI techniques for generating look-alike data sets can help data scientists develop machine learning models more quickly and at...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Collectivité auteur: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
MIT Sloan Management Review,
2021.
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| Édition: | 1st edition. |
| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
| Résumé: | It's often difficult to access the real-world data needed to train models or gain insights, due to privacy and security concerns or simply process issues. However, new AI techniques for generating look-alike data sets can help data scientists develop machine learning models more quickly and at greater scale. This article explains the concept of synthetic data and outlines the benefits and concerns that executives should consider. |
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| Description matérielle: | 1 online resource (6 pages) |