Discover How IGLOO Transformed Cybersecurity with Synthetic Data
Cover photo by Andrea De Santis on Unsplash
Use cases for Healthcare & Pharma
Access to patients’ data
Data is the prime matter and needs to be accessible
Organizations cannot share patients’ data directly due to concerns about privacy. A lot more problems could be solved if patients’ data could be shared across organizations without impacting their privacy. YData enables the easy sharing of data both within internal teams and external organizations.
Data augmentation
Overcome lack of data and data silos
In critical domains such as this data often exists in silos, which is insufficient to train a good model. Data augmentation is a proven method to work around this problem. YData accomplishes this without any unintended side effects by synthesizing data without changing its inherent nature.
Handling bias
Balance your datasets to save more lives
ML models are being used in the clinical domain often for diagnosis purposes. The dataset can turn out heavily imbalanced if the subject selection is not done properly. Using our Synthesizers, you can balance the dataset and make sure that your model is not trained on the wrong data.
Our Most Recent Articles
YData Announces Partnership With Databricks to Empower Enterprises.
YData Brings State-of-the-Art Data Quality Profiling and Synthetic Data Generation to Databricks, Enhancing Data Workflows and Ensuring Safe Data Sharing
ydata-synthetic: Models to revolutionise Synthetic Data Generation
At YData, open-source solutions have always been a fundamental part of our DNA. Through ydata-synthetic, we’ve shared knowledge and empowered users to explore the potential of different generative models like TimeGAN, CTGAN, and many other...
