All Posts

How Do You Build A Data And Analytics Organization?

Business models are innovating towards an increased reliance on Data and Analytics for competitive advantage. The growth D&A is driving requires an organizational approach. Without it, managing the complex landscape of platforms, talent, and projects becomes a barrier to progress.


May 23rd, 2021

6 Lessons From 6 Years of Building Data Science Teams

Building Data Science teams is a challenge that goes beyond the hiring process. As I built out my Strategies for Hiring Data Scientists class, I had a chance to pull together my experiences from the last 6 years. 6 themes came up repeatedly.


May 20th, 2021

War Stories From The Data Science Job Search

Most people would avoid the hiring process altogether if they could. Great stories come out of job searches and I have a few to tell with lessons for capturing top talent after each one.


May 20th, 2021

What To Do If You Are Struggling To Land A Job Interview

In this post, I talk about what to do when all the job search advice stops working. When you are not getting responses to your applications or when all you are getting is "No." I give you a progression to steps to take that will get your job search back on track.


May 5th, 2021

How to format a LinkedIn Share

There is a formula many influencers use to get their shares noticed. In this post, I teach you how to get people to stop scrolling and start engaging with your content.


May 5th, 2021

Machine Learning Product Strategy: Defining a New Category

Machine learning research creates solutions to long standing business problems, driving the need to create new categories. Product strategy needs to be built for the new category and adapted for a model-based product.


February 9th, 2021

Why Do Models Drift?

Data drifts. Models lose accuracy. They require monitoring to detect drift and retrain to prevent failures. Why? Let me explain in non-math terms.


February 5th, 2021

Framing a Business Problem as a Data Science Problem

Is the business problem a data science problem? Reframing the business problem answers this question and allows you to assess the feasibility of your independent project. This is a key step to move past toy projects and build one that gets you hired.


January 21st, 2021

Introduction to Unit Testing for Machine Learning

Unit testing for machine learning has different objectives than software developers are used to. Unit tests add stability to the data pipeline and extra granularity to model validation.


October 23rd, 2020

Adversarial Machine Learning: A Horror Story

Our field has discussed security threats to machine learning for six years. We have built solutions rapidly over the last year. However, we still have a long way to go.


October 20th, 2020

Building a Better Machine Learning Team

Machine learning has become a larger piece of business models. Revenue is increasingly dependent on more complex projects. The new Machine Learning Team is built to execute.


August 15th, 2020

What to Do When You are Laid Off

Layoffs are happening due to COVID. Even back in December and January, the first signs of workforce reductions were here. There are some simple steps that will help you land on your feet.


January 21st, 2020

There is No Leadership in Technology

I have analyzed data on thousands of leadership positions in and out of technology. We have a drought of leaders in tech which is a core reason so many companies are not seeing the ROI they should from technical teams.


December 23rd, 2019

The Data Science Lifecycle

For companies moving forward into the next phase of data science maturity, a consistent lifecycle is needed. This is the blueprint for Enterprise Data Science.


May 3rd, 2018

Solving the Data Science Skills Gap

The concept of a farm system to feed the business’s need for emerging talent is something I have been teaching clients for three years. It reduces both time and cost to hire.


October 23rd, 2017

How To Compete With Data Driven Companies

Five years after I wrote this, many companies are still working on strategies to compete with data driven companies. As the competitive landscape is increasingly dominated by data, this is more important than ever to understand.


August 5th, 2015

How to Hire Your First Data Scientist

The first hire is as important now as it was five years ago. While most businesses have gone well past their first hire, for startups, this is still worth reading.


January 17th, 2015

Is Your Career About to Be Automated?

Machine Learning, as a field, has a responsibility to talk about what fields we are working to automate. As we move towards more accountability and impact analysis, this becomes an important area of focus.


January 1st, 2015

Big Data Buzzwords for 2015 And What They Mean

This was applicable five years ago and we are still introducing people to these terms. We are knee deep into implementations, but the buzz words still hide the real meaning and value.


December 22nd, 2014

Machine Learning’s Big Pitfalls

There are many mistakes a business can make on their path to implementing data science and machine learning. Here are the most common.


September 27th, 2014

What Can Big Data Do for Your Pricing Strategy?

Over 5 years ago I was building my first pricing models and wrote a brief overview of the business cases for those models. Many businesses have yet to adopt machine learning driven pricing.


September 16th, 2014