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The Synthetic Data Blog

If you want to learn about the latest developments in the synthetic data space, you are in the right place. The synthetic data blog covers the latest developments, research results and business best practices.

Data for Everyone

TL;DR: LLM + Python = Data Superpowers, Smart Datasets + Artifacts = Share those Superpowers with Everyone LLMs changed how we work with information. ChatGPT and Claude can reason around data in ways that seemed impossible just years ago. But they're wrapped in environments designed for conversation, not data work. You can analyze a dataset, […]

Data anonymization tools blog

Data anonymization tools: the 4 best and the 7 worst choices for privacy

September 28, 2023

Data anonymization tools come in different shapes and sizes. Choosing the right tool is not easy, but this blogpost will walk you through the options.

Rebalancing with synthetic data

Rebalancing your data for ML classification problems

September 25, 2023

Rebalancing your data via the synthetic data generation process offers a simple, yet effective way to improve your machine learning models.

Synthetic data accuracy vs training data sample size tutorial

Optimize your training sample size for synthetic data accuracy

September 21, 2023

Synthetic data accuracy is in a direct relationship with synthetic data sample size. In this tutorial, we'll show you how to optimize training data for best results.

Evaluate synthetic data quality using ML

Evaluate synthetic data quality using downstream ML

September 20, 2023

In this tutorial, you will learn how to validate the quality of synthetic data by evaluating its performance on a downstream ML task.

How to do data migration using synthetic data

Data migration: How to do it like a pro

September 20, 2023

Data migration comes with a host of challenges where AI-generated synthetic data offers a real solution.

yes, we are open

Come in, we are open

September 12, 2023

MOSTLY AI has just published its employee handbook - public and accessible for all.

Data drift: How to tackle it with synthetic data

September 11, 2023

Data drift is a huge headache for ML developers. Conditional synthetic data generation can help put your model back on track.

Insurance innovation: 3 use cases powered by synthetic data in health insurance

August 10, 2023

Insurance innovation powered by synthetic data includes exciting use cases, such as data democratization, external data sharing, and empowering women in healthcare.

Machine learning life cycle

Improve your machine learning life cycle with synthetic data

A step-by-step journey through the machine learning life cycle, from data collection to model explanation and sharing.

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