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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.

January 23, 2025

Alexandra Ebert

Unlocking AI Training Data for All: MOSTLY AI Releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

Today we launch the first industry-grade open-source synthetic data toolkit (SDK), enabling any organization to easily generate high-quality, privacy-safe synthetic datasets from sensitive proprietary data, all within their own compute infrastructure. By eliminating data-sharing hurdles, this open-source release clears the path for the next wave of AI innovation, fueled by previously inaccessible data. Synthetic Data […]

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.

The data bridge for data consumers is made of synthetic data

Data consumer manifesto: the 3 benefits of bringing generative AI synthetic data closer to the consumer

Mario Scriminaci

The data consumer manifesto outlines the three benefits synthetic data brings to data consumption and introduces the concept with real-world examples.

Data simulation: unlocking innovation & empowering organizations

What are data simulations and how can synthetic data generation act as a data simulation tool?

How to benchmark synthetic dsta generators

How to benchmark synthetic data generators

Benchmarking synthetic data generators across measures of fidelity and privacy using four different datasets.

Snowflake integration

Snowflake integration in MOSTLY AI: unlocking data potential

MOSTLY AI is now offering Snowflake database connections as part of the world's most advanced synthetic data platform.

Data catalog tools with synthetic data

Data catalog tools and their integration with synthetic data

What is a data catalog, why do we need them, what are the challenges associated with using data catalogs and how can AI-generated synthetic data help?

What is data privacy?

Let's talk about the definition of data privacy and the practical approaches to ensuring data privacy in organizations.

Data anonymization with Python

Data anonymization in Python

Data anonymization is the process of removing personally identifiable information from datasets. Find out how to do it right!

Authenticity at work

Authenticity at work - be YOU, everyone else is taken

What is authenticity at work and how does a remote company, like MOSTLY AI, make it one of its core values?

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