Kevin Bolger 5/1/24 Kevin Bolger 5/1/24

Deploy MLFlow for on EC2 using Terraform with authentication

Deploy mlflow on an aws ec2 instance with basic authentication using terraform.

Gary O'Keeffe 4/23/24 Gary O'Keeffe 4/23/24

Lean AI Development: Transform Ideas into MVMs into MVPs

The 5 D's of lean AI-SaaS development, is a battle tested formula for ensuring you only start breaking ground on an idea once you know it's worth a bet! It’s broken down into these 5 phases:

Define your idea
Design a Rough Solution
Derisk with a Minimum Viable Model (MVM)
Deliberate on whether it's still worth pursuing
Develop a Minimum Viable Product (MVP)

In this article I’ll walk you through the repeatable “5D” process for getting an AI idea to MVP.

Gary O'Keeffe 4/16/24 Gary O'Keeffe 4/16/24

R versus Python for Bioinformatics Research

When a Bioinformatics researcher starts a new project, one of the first significant Computer Science decisions they need to make is picking a programming language.

The R and Python programming languages both have a lot of traction in this industry. But they are two very different languages, and working with each one comes with its own trade-offs. So if you are starting a new bioinformatics project, how do you decide which one to pick?

Kevin Bolger 4/9/24 Kevin Bolger 4/9/24

Getting started in ML Flow: Local server and Experiment Tracking

A crawl through tutorial of the basics of setting up MLFlow locally with experiment tracking.

Gary O'Keeffe 4/2/24 Gary O'Keeffe 4/2/24

MLFlow for Machine Learning Teams

As machine learning teams scale their scope of influence in an organization, they often run into a tension between tailoring models for precise outcomes and maintaining streamlined workflows. MLflow can be a really useful tool in addressing this tension, offering an open-source platform that simplifies experiment tracking, model tuning, versioning, and deployment.

Gary O'Keeffe 3/26/24 Gary O'Keeffe 3/26/24

Fully Managed MLOps Platforms vs Custom Solutions

Think of fully managed MLOps platforms as a direct flight to your destination. They offer everything you need - tools, services, and support - all in one package. This route is all about getting you where you need to be quickly and without any hassle.

On the other hand, custom solutions let you build your own path. It's like planning a road trip with your own map, choosing each stop along the way. This option takes more effort and knowledge, but it gives you a solution that fits exactly what you need.

Kevin Bolger 3/19/24 Kevin Bolger 3/19/24

Mastering ML Ops: A Blueprint for Success

Gary O'Keeffe 6/9/23 Gary O'Keeffe 6/9/23

Refactor to go faster

If you’ve noticed your team is starting to take longer to build out solutions, new members are taking longer to onboard, existing models are often breaking, or you are running into scaling issues, it’s likely that you have a complexity problem.