But the heightened expressiveness of its deep neural networks allows AI Synthesizer to capture subtle relationships in your data that may be difficult to otherwise express. Mimicking statistical properties and linking and partitioning columns are nothing new to Tonic we’ve offered these capabilities from the start. These models can then be sampled to generate new, synthetic rows which faithfully mimic the statistical properties of your data. The AI Synthesizer enables data mimicking of the highest fidelity by making use of deep neural networks, also known as Variational Autoencoders (VAEs) to learn models of your data for advanced data synthesis.
#Slack workspaces data science generator#
Read on for the details… AI Synthesizer: a VAE Generator for High-Fidelity Data Synthesis
Google SSO: easily manage users and teams through Google’s identity platform.Webhooks: trigger activities outside of Tonic, from Slack notifications to Github Actions.Workspace View: full visibility across your Tonic workspaces.What else are we excited to launch this month? Here are the latest releases: With AI Synthesizer, we’re redefining the degree of fidelity and utility that development teams are able to achieve with their data. This latest arrival on our growing list of generators represents the addition of Variational Autoencoders (VAEs) to our data generation platform, to better enable our customers who need to de-identify data for both developers and data science teams.
We’re excited to introduce Tonic’s newest synthetic data generator: AI Synthesizer.
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