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The MOSTLY AI Blog

Welcome to the MOSTLY AI Blog, your go-to source for the latest trends, research insights, and industry best practices in data intelligence. Whether you're exploring synthetic data, AI innovation, or cutting-edge data strategies, you'll find expert guidance and fresh perspectives right here.

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, […]

The Numbers Behind Dominance in Men’s Beach Volleyball (2015–2024)

August 27, 2025

I’m an enthusiastic beach hobby volleyball player. And as such, I know how nuances can decide whether a team wins or loses and—more broadly—how tight matches, especially on the pro level, can be. Irrespective of that, there are two teams who dominate the last couple of years and—whenever they enter a tournament—it feels like they […]

A Comparison of Synthetic Data Vault and MOSTLY AI, Part 3: Referential Integrity Scenario

August 27, 2025

Kenneth Hamilton

If you’d like to recreate this experiment yourself, follow along in the companion notebook. Introduction This blog is the third in a three-part series of comparisons assessing the synthetic data generation functionalities and features of two leading synthetic data libraries: Synthetic Data Vault (SDV) and the Synthetic Data SDK by MOSTLY AI. This experiment expands […]

A Comparison of Synthetic Data Vault and MOSTLY AI, Part 2: Sequential Scenario

Kenneth Hamilton

If you’d like to recreate this experiment yourself, follow along in the companion notebook. Introduction This blog is the second in a three-part series of comparisons assessing the synthetic data generation functionalities and features of two leading synthetic data libraries: Synthetic Data Vault (SDV) and the Synthetic Data SDK by MOSTLY AI. This experiment expands […]

Enabling Cross-Industry Intelligence with AWS Clean Rooms and Open-Source Synthetic Data

Tl;dr: Use AWS Clean Rooms to securely merge sensitive data from multiple parties. Then generate a unified, granular synthetic dataset that anyone can safely download and analyze Companies sit on valuable data that could unlock powerful insights if combined with other organizations' data. But privacy concerns and regulatory requirements make collaboration nearly impossible. A bank […]

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, […]

Announcing the winner of the MOSTLY AI PRIZE

On July 3rd the first Stage of the MOSTLY AI PRIZE concluded. And what a competition it has been! In the weeks up to the finale there was a lot of movement on the leaderboards of the two Challenges (the FLAT DATA Challenge and the SEQUENTIAL DATA Challenge) as can be seen in the two […]

A Comparison of Synthetic Data Vault and MOSTLY AI, Part 1: Single-Table Scenario

Kenneth Hamilton

If you’d like to recreate this experiment yourself, follow along in the companion notebook. Introduction This blog is the first in a three-part series of experiments comparing the synthetic data generation functionalities and features of two leading synthetic data generation platforms: Synthetic Data Vault (SDV) and MOSTLY AI. These experiments expand on an earlier comparison […]

Simulations for Everyone! 🎉

Michael Platzer

TL;DR: Simulations are powerful. Simulations are hard. They are not for Everyone. Until now! MOSTLY AI’s open-source Synthetic Data SDK makes it easy to train Generative AI models on proprietary data. Tens of thousands of users already rely on it for privacy-preserving data sharing across teams, borders, and organizations. But the full potential of synthetic […]

From Mock Data to Scalable Synthetic Datasets: Building a Healthcare Use Case with the Assistant

Creating realistic, relational healthcare datasets doesn’t need to be complicated. In this blog, I walk through how to use the Assistant from MOSTLY AI to simulate a multi-table Healthcare and Life Sciences (HLS) use case from scratch. The entire process flows through natural language, making it intuitive even for non-technical users. This workflow includes two […]

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