Synthetic data is the test data that makes your business operations run smoothly; and if those operations are automated with AI, it's essential to use master data management (MDM) to make sure your decisions are unbiased.
Data generates data which in turn generates more data. How do we know if what is being produced is fit for purpose? What if a bot, designed to help us to make an informed investment decision or simply provide us with the best answer to our customer services question, gets it wrong?
Obviously, testing all the different corners of solution sets is important. As AI takes a more dominant role in automating decision processes, it becomes essential to make sure MLOps - enabled by MDM - is working from good data that is explainable (XAI) and free from bias.