Topic: synthetic data

Analyst View: Software engineering leaders must understand the potential of synthetic data

Synthetic data is a class of data artificially generated through advanced methods like machine learning that can be used when real-world data is unavailable. It offers a multitude of compelling advantages, such as its flexibility and control, which allows engineers to model a wide range of scenarios that might not be possible with production data. … continue reading

Capital One open-sources new project for generating synthetic data

In the fast-paced world of machine learning, innovation requires utilizing data. However the reality for many companies is that data access and environmental controls which are vital to security can also add inefficiencies to the model development and testing life cycle.  To overcome this challenge — and help others with it as well — Capital … continue reading

Synthetic data and digital twins

Synthetic data and digital twins are wildly different things but at the same time complementary in the sense that one simulates data for AI and other simulates the interactions of models for people and AI. Rather than being generated by real-world events or processes synthetic data is information that’s artificially manufactured. It is data created algorithmically, and … continue reading

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