Introduction We use data every day. Basically, we are working and living data-driven outcomes. We are using apps that have been tested for their functionality using data. We are working on GPTs and operating AI tools that are developed using data. Every major industry including healthcare, insurance, tech, banking, and e-commerce is basically operating on … Read more

Introduction: Let’s say you are developing a think pad for people who like to jot down their thoughts, plan their events, set goals, and maintain their overall calendar. But once you have made the draft, you are concerned about people’s privacy. What if people avoid using my app due to their concerns regarding the sensitive … Read more

Synthetic data is the information that is generated artificially. Computer algorithms or simulations play an important role to generate it.   Companies go for synthetic data generation only for two basic reasons. The first one is when the production or real data is not available. The second one is when it is necessary to keep … Read more

It’s 2024, and according to Gartner, by this year, more than 60% of the data used to train AI and ML models will be generated artificially. Why is that? Because real data has its concerns. Real data needs to be protected. Think about it. You have your whole history written in hospital documents and it … Read more

When I say we are what they call us, I mean we are our data ourselves. You fill out a hospital form; you put yourself in the data form. Max is calling customer service; he tells them who he is – now he is there in the form of data. But what about his privacy? … Read more

You might have seen or heard about the testing scenarios. There, real-world data plays an important role. However, with the evolving times, a new strategy has developed, leaving real data behind. That is the usage of synthetic data.   Synthetic data means the information that is generated with the help of AI rather than real-world … Read more