Gretel Blog

What's new in Beta2

What's new in Beta2

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.
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Why I Joined Gretel

Why I Joined Gretel

I joined Gretel because of the opportunity, people, and problem.
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What is Privacy Engineering?

What is Privacy Engineering?

In this post, we will dive into what privacy engineering is, why it’s important, and some of the core use cases we are seeing that are enabled by privacy.
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A guide to load (almost) anything into a DataFrame

A guide to load (almost) anything into a DataFrame

Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.
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Synthetic Data Configuration Templates

Synthetic Data Configuration Templates

Our new configuration templates will help you pick some of the right parameters needed to train your synthetic data models.
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Practical Privacy with Synthetic Data

Practical Privacy with Synthetic Data

Implementing a practical attack to measure un-intended memorization in synthetic data models.
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Introducing the Gretel Bartender

Introducing the Gretel Bartender

A game-changing AI that will disrupt the cocktail industry and spin the world on its head.
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Anonymize Data with S3 Object Lambda

Anonymize Data with S3 Object Lambda

Anonymize data at access time with Gretel and Amazon S3 Object Lambda.
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How accurate is my synthetic data?

How accurate is my synthetic data?

Gretel’s new synthetic report is here, featuring a high-level score and metrics to help you assess the quality of your synthetic data.
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Gretel Smart-Seeding is auto-complete for your data

Gretel Smart-Seeding is auto-complete for your data

Smart-seeding lets you train a synthetic data model to auto-complete partial records and text.
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