Business Models are Being Built on Machine Learning
Monetization and a path to production are critical success factors for Applied Machine Learning.
How To Pick The Right Projects For Data Science Teams To Work On
Many Data Science team struggle with prioritization. What should the team spend its limited time working on? Businesses expect teams to produce and project selection is the most important step in meeting those expectations.
July 4th, 2021
The End of Entry Level Jobs
If it seems like few companies are interested in hiring recent graduates and those with little to no experience, you’re right. There are a few factors contributing to what could become the end of entry level jobs.
July 3rd, 2021
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
Advice For Data Scientists Working With Senior Leadership And The C-Suite
Working with Senior Leadership requires a different communications style and approach. In this post, I teach you the basics that have made me an effective partner for Senior Leaders and the C-Suite.
May 5th, 2021
Is Digital Transformation Strategy the Barrier to Data Science Maturity?
Digital Transformation has a lot of hype behind it but do the strategies support adopting machine learning?
February 23rd, 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
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
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
Machine Learning for the Return to Work – Reskilling Using ELV Models
Decisions about employees and reskilling are obviously strategic but difficult to quantify and support. Employee Lifetime Value models make raw data actionable to align reskilling with the business strategy.
June 9th, 2020
New Roles for The New Business Reality - Data Science Product Manager
Three years ago, this was an emerging role. As companies move forward in the Machine Learning Maturity Model, the Data Science Product Manager role is a key part of getting ROI out of Machine Learning.
September 23rd, 2017
Best Practices In Data Science
Applied data science and machine learning require best practices. Here are the basics.
January 19th, 2015
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