Discover How IGLOO Transformed Cybersecurity with Synthetic Data
Cover photo by Andrea De Santis on Unsplash
Use cases for Telecommunications
Improved anomaly detection
Save money by detecting more anomalies
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.
Data monetization
Unlock a new revenue stream by monetizing data assets
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.
AIOps - AI Operations
Optimize operations and improve RoI for AI
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.
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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...
