Operationalising Ethics and Privacy in the Data Pipelines
Free Virtual Talk
Nicolai Baldin
Founder & CEO Synthesized
Slash time-to-value, accelerate innovation, and turbocharge data sharing and monetisation with new streams of data
It takes Synthesized about 10 minutes to generate millions of fully representative data points. With the ability to self-service any and all data needs, you can iterate and innovate at speed. Chief Innovation Officers at major global banks and insurers rely on Synthesized to accelerate product testing, validate models, and drive new revenue streams.
Data scientists and test engineers waste up to 80% of their time on finding, collecting and curating data. Remove unnecessary friction in the machine learning lifecycle and focus on extracting maximum value while remaining privacy compliant.
Safely accelerate pilots and application rollouts without compromising on quality. Our platform enables you to experiment quickly and efficiently across unlimited data scenarios. As your data evolves over time, you can be sure that your models will remain accurate and bias-free.
Synthesized isn’t just GDPR compliant — it’s the next level of data privacy. Most data platforms redact PII, but Synthesized has been designed from the outset to satisfy all legal and compliance constraints.
With large-scale, fully representative data sets, your data team can rigorously test and iterate against any scenarios, including edge cases. More accurate model training leads to better performance. Now you can eliminate the risk of mission-critical failure in production and go live with confidence.
External data sharing has never been easier, faster, or more secure. Synthesized streamlines collaboration, internally and externally, with ML-powered data access and data clean rooms. New partnerships — and new data monetisation opportunities — await.
Bias in data can lead to incorrect interpretations of models behavior, and more importantly, can lead to you falling foul of regulatory restrictions and damaging your brand reputation. The bias manifests itself in poor predictive capability, inefficiency, and ineffectiveness.
Synthesized has built the fastest ML-powered bias identification and remediation platform to ensure fairness and transparency in all data-driven applications.
