As part of your onboarding process, we have developed a program to ensure you have a strong foundation in all aspects relevant to our business.
We want to help you gain a deep understanding of synthetic data.
For your future success, it is important to understand how synthetic data by MOSTLY AI is generated.
We hope this program will provide you with the tools and knowledge you need to excel in your role and achieve your career goals.
- Watch What is Synthetic Data
- Read the “Synthetic data: all you need to know” post
- Read the "Time to define synthetic data" post
- MOSTLY AI Product Demo
- Watch the fun & educational video Artificial Intelligence: Last Week Tonight with John Oliver
- MOSTLY AI overview about Synthetic Data
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What is synthetic data?
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Why use synthetic data?
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Why MOSTLY AI?
The answers are here.
- Responsible AI, Fairness and Explainable AI
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What is Responsible AI?
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What are the principles of Responsible AI?
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How is Responsible AI different to Ethical AI or Trustworthy AI?
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Why is Responsible AI important? Why now? And for whom?
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What are the challenges of Responsible AI?
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How can MOSTLY AI help with RAI?
Find the answers to these questions here.
- Privacy - Learn about more about Synthetic Data Privacy in general and MOSTLY AI Synthetic Data Platform Privacy Features in particular https://mostly-ai.atlassian.net/wiki/spaces/MSSI/pages/588480801.
- Privacy Enhancing Technologies (PET) here.
- General Data Basics here.
- General Data Types here.
- Everything you always wanted to know about Synthetic Data - A Guest Lecture @ Imperial College London
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Part I (2022)
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Part II (2022)
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Update with references to the Anonymeter (2023)
- Data processing in the GDPR context - on this video MOSTLY AI's Legal Counsel tries to clarify if "synthesizing = processing? in the GDPR context".
- Learn with the tutorials:
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- Read the "Amp It Up: synthetic population data at scale" blogpost
- Read the Guide to Data Anonymization
- Browse through the MOSTLY AI Mini Meetups and watch the ones that are more relevant for your role.
- Enroll on the “Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives“ the by our colleague Alexandra Ebert on LinkedIn (if the course is not available for free, you can trigger a 1 month free trial)
[Optional] By the end of the this course, you will have acquired a lot of knowledge and that is something worth celebrating. 
If you’re up to it, please share your achievements with your network. Examples: Alex Ichim, Michael Peter, Alex Zojer, George Loizou.
- Enroll on the AI For Everyone training by Coursera
- Celebrate!
Congrats on acing your learning path about our awesome product! You've officially leveled up and are now a MOSTLY AI & Synthetic Data pro. Let's keep the learning journey going! 🚀