Discover MakeYourData with Argusa
If you'd like to know more about MKYD, join us in this series of webinars led by Team Argusa!
1. MKYD FOR TESTING AND PROTOTYPING
Tuesday, June 21st
https://mkyd-testprototype.splashthat.com/
Quickly start prototyping by using MKYD to build datasets according to your rules to test your application.
2. MKYD FOR ANONYMIZING
Tuesday, July 5th
https://anonymizewithmakeyourdata.splashthat.com
Data is the driver of innovation but often if cannot use shared because of confidentiality reasons. Come and see how MKYD dan help you overcome this limits and free your data.
3. MKYD FOR DEMOS AND TESTS
TDB (Autumn 2022)
If you are an application developer you need to showcase your product to customers and you need data to make your application live. Real data is difficult to use so come and see how MKYD can help you to quickly achieve your goal.
4. MKYD FOR MACHINE LEARNING
TBD (Autumn 2022)
Machine learning requires huge amount of data to train models. When not enough data is available generating synthetic data with MKYD can help data scientists achieve their goal.
If you'd like to know more about MKYD, join us in this series of webinars led by Team Argusa!
1. MKYD FOR TESTING AND PROTOTYPING
Tuesday, June 21st
https://mkyd-testprototype.splashthat.com/
Quickly start prototyping by using MKYD to build datasets according to your rules to test your application.
2. MKYD FOR ANONYMIZING
Tuesday, July 5th
https://anonymizewithmakeyourdata.splashthat.com
Data is the driver of innovation but often if cannot use shared because of confidentiality reasons. Come and see how MKYD dan help you overcome this limits and free your data.
3. MKYD FOR DEMOS AND TESTS
TDB (Autumn 2022)
If you are an application developer you need to showcase your product to customers and you need data to make your application live. Real data is difficult to use so come and see how MKYD can help you to quickly achieve your goal.
4. MKYD FOR MACHINE LEARNING
TBD (Autumn 2022)
Machine learning requires huge amount of data to train models. When not enough data is available generating synthetic data with MKYD can help data scientists achieve their goal.