John Sullivan

Principal Consultant

Blogposts written by John

Sonnet 4.5's Analytical Instincts

October 15, 2025

The difference between Sonnet 4.5 and other models isn't capability alone, it’s autonomy. Sonnet acts autonomously on analytical instincts, revealing insights you might not think to look for. That matters when you're staring at data and don't always know the right questions to ask. I tested four models across three domains I actually care about: […]

The 0.4% Opportunity

September 25, 2025

"each bar in this chart is a billion-dollar wedge if you build the right verticalized, trust-rich AI startup". Greg Isenberg's viral take last week on OpenAI's report about How people are using ChatGPT. I read all 61 pages of the report the old fashioned way, sans LLM. As a startup focused on data intelligence, I […]

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, […]

Maximizing the Potential of Databricks Clean Rooms with Synthetic Data

Fueled by the exponential growth in external data and AI for innovation, Databricks has introduced Clean Rooms to enable organizations to securely collaborate on sensitive data while maintaining privacy. Participants can share and join data, run complex workloads in any language, and retain full control of where and how that data is being used - […]

Creating privacy-preserving synthetic text in Databricks to safely fine-tune your custom LLM

October 1, 2024

TL;DR: Databricks research shows that 90% of businesses are holding back on GenAI due to concerns over accuracy, safety, and governance. MOSTLY AI helps you overcome these challenges by using privacy-preserving synthetic text to safely fine-tune your custom LLMs. Introduction Fine-tuning a model is the process of adapting a pre-trained LLM to instill specific knowledge […]

Data Access + Data Insights for Everyone

"Business people don't understand data". As a non data scientist, I've been told this quite a lot. And it's often true. The majority of people don't have the skills to work with data. To analyze data, to visualize data, to understand data. That's a problem, because the answers to many of your questions are in […]

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.

Personalizing the digital banking experience with synthetic data

How to win the digital transformation race? By personalizing the digital banking experience with synthetic data!

Data-driven personalization analyzes customer data in real time. Machine-learning models provide personalized services based on the customer's financial profile. These machine-learning models need quality data—and lots of it.