MIT Sloan Management Review Article on The Real Deal About Synthetic Data

Data is the essential fuel driving organizations’ advanced analytics and machine learning initiatives, but between privacy concerns and process issues, it’s not always easy for researchers to get their hands on what they need. A promising new avenue to explore is synthetic data, which can be shared and used in ways real-world data can’t. However, this emerging approach isn’t without risks or drawbacks, and it’s essential that organizations carefully explore where and how they invest their resources.

About the Author

Fernando Lucini (@fernandolucini) is global data science and machine learning engineering lead at Accenture Applied Intelligence.

Learn more about MIT SMR.