Network defects can be detected using Anomaly Detection algorithms. But the algorithms are severely hampered due to the lack of good data. YData can automatically classify the different types of anomalies and synthesize data accordingly to train better predictive models. YData’s Pipelines allow the user to compare, contrast and fine-tune the ML model for the detection job.
The value of information assets has never been greater. Synthetic data has the same statistical and business value as real data, but it is not traceable back to real individuals. This makes it suitable to be monetized without concerns around privacy.
With AIOps, teams are able to tame the immense complexity and quantity of data collected from modern IT environments, prevent outages, maintain uptime and attain continuous service assurance. YData enables the creation of training datasets and models, and seamlessly integrates production ML models and pipelines into existing IT operations.
As generative AI reshapes industries, the quality, diversity, and safety of the data used to train and evaluate models have never been more critical. Today, we’re thrilled to announce two major additions to YData's product portfolio that...
We are thrilled to announce that YData has been recognized as the most statistically accurate synthetic data generator in AIMultiple's 2025 benchmark. This independent evaluation assessed seven publicly available synthetic data generators...
Cover photo by Andrea De Santis on Unsplash
