Mark Palmer 8/25/22 Mark Palmer 8/25/22

AI Regulation 101

Mark Palmer 8/8/22 Mark Palmer 8/8/22

A Fool with an AI Tool is Still a Fool

Mark Palmer 8/1/22 Mark Palmer 8/1/22

Dataiku & ModelOps

Mark Palmer 6/17/22 Mark Palmer 6/17/22

Laugh Now, But is AI in Charge?

Mark Palmer 6/2/22 Mark Palmer 6/2/22

9 (Surprising) Tips for Making Your First Data Science Hires EBOOK

Mark Palmer 2/5/22 Mark Palmer 2/5/22

Data is the Light, Not the Way: Here’s How to Illuminate Every Path

Mark Palmer 12/7/21 Mark Palmer 12/7/21

8 Mistakes Leaders Are Making with Data Science and How to Fix Them

Mark Palmer 11/27/21 Mark Palmer 11/27/21

Italy’s Smart Infrastructure and What We Can Learn From It

Mark Palmer 10/11/21 Mark Palmer 10/11/21

Singapore’s AI-Driven Healthcare

Mark Palmer 9/29/21 Mark Palmer 9/29/21

Seven Steps To Reduce AI Bias

Mark Palmer 9/12/21 Mark Palmer 9/12/21

Seven Mistakes You’re Making As You Build a Data Science Team

Mark Palmer 7/10/21 Mark Palmer 7/10/21

Bye-Bye, AI for AI

Mark Palmer 7/3/21 Mark Palmer 7/3/21

On Data Centralization Disease and Data Fabrics

Mark Palmer 5/3/21 Mark Palmer 5/3/21

Uber Eats for Data Science (ModelOps)

Only 15% of enterprises have deployed AI at scale. Here’s how to create a better culture for operationalizing data science.

Mark Palmer 12/11/20 Mark Palmer 12/11/20

Model Ops 101

Model Ops is like a public library, Google, Wikipedia, or TikTok for AI. It supports an effective data science culture. This is a quick introduction to Model Ops.

Mark Palmer 12/10/20 Mark Palmer 12/10/20

The Data Science Ferrari

If you own a Ferrari and leave it in the garage, do you really own a Ferrari? Most enterprises today own AI Ferraris. Model Operationalization tools, or Model Ops, or ML Ops help liberate AI from the data science garage.

Mark Palmer 12/9/20 Mark Palmer 12/9/20

#DataScienceFail?

Only 15% of enterprises have deployed AI at scale. Here’s how to create a better culture for operationalizing data science.