We talked about:

• Sonal’s background
• How the idea for Zingg came about
• What Zingg is
• The difference between entity resolution and identity resolution
• How duplicate detection relates to entity resolution
• How Sonal decided to start working on Zingg
• How Zingg works
• What Zingg runs on
• Switching from consultancy to working on a new open source solution
• Why Zingg is open source
• Open source licensing
• Working on Zingg initially vs now
• Zingg’s current and future team
• Sonal’s biggest current challenge
• Avoiding problems with entity/identity resolution through database design
• Identity resolution vs basic joins, data fusions, and fuzzy joins
• Deterministic matching vs probabilistic machine learning
• Identity and entity resolution applications for fraud detection
• Graph algorithms vs classic ML in entity resolution
• Identity resolution success stories
• What Sonal would do differently given the chance to start over with Zingg
• Advice for those seeking to realize their own solution to a data problem
• Reading suggestion from Sonal
• Conclusion

Links:

• Open-Source Spotlight demo "Zingg":https://www.youtube.com/watch?v=zOabyZxN9b0
• Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs book: https://www.amazon.com/Creative-Selection-Inside-Apples-Process/dp/1250194466

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

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