
The Beauty of GANs: Sharing insights without sharing data
Generative Adversarial Networks or GANs are the most forward-thinking machine learning framework tha…

Data is trapped in silos in many big organisations. Businesses that operate in regulated environments are often restricted from sharing data from on-premise to the cloud, across secure environments and across different geographies. Aggregate your data in more accessible, centralised, cloud environments to run more holistic data analysis.
There is strong regulation blocking data sharing between countries, departments and subsidiaries. Secure environments are in place to limit the very process you're trying to achieve. Building synthetic data within these silos unlocks your ability to share your data with a broader range of partners and supplies.
Migrating more data workloads to cloud is a major strategic initiative for many of our customers. The cloud promises to unlock cheaper infrastructure costs as well as the many value add services built in. Moving the data in to these environments remains a major stumbling block to harness this opportunity. Our customers are using Hazy's synthetic data to run data workflows on the cloud with no real data leaving on-premise environments
Combining the datasets from your whole customer base across the world can unlock new insights that were previously thought impossible. Hazy's customers are building synthetic datasets in individual countries, aggregating them in a single location and running holistic analysis to gain deeper insights and build more robust models.
Generative Adversarial Networks or GANs are the most forward-thinking machine learning framework tha…
Hazy unlocks the real value of your data. Without compromising privacy.
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