What do flight attendants, surgical teams, and successful data science project managers have in common? They all use a...
What is Machine Learning Operations?
Machine Learning Model Operations is a multidisciplinary field that is gaining traction as organizations are realizing...
Managing AI projects: 6 Concepts to Help Lead an AI Team
The importance of AI project management, or more specifically, managing AI projects, is highlighted by a survey...
Project Management for Data Analytics
This post will explore managing analytics projects by focusing on three questions: What is the difference between a...
KDD and Data Mining
What Is the KDD Process? Dating back to 1989, the namesake Knowledge Discovery in Database represents the overall...
Why Big Data Science & Data Analytics Projects Fail
The Boston Dynamics humanoid robot tripping over a curtain and tumbling off stage? A prediction model that tips a...
Managing Machine Learning Projects
Machine Learning Project Management is of growing importance If you are leading machine learning projects, you have...
Data Science Project Roadmap Example
Various process models and frameworks such as CRISP-DM, TDSP, Domino Data Labs Life Cycle, or Data Driven Scrum...
10 Data Science Ethics Questions
While the potential ethical issues that might arise when using data science and artificial intelligence have certainly...
10 Data Science Project Metrics
Ironically, data science teams that are so intensely focused on model measurement often don’t measure their own...
10 Questions to Ask Before Starting a Data Science Project
Data science projects are challenging. To increase your odds of success, start them by asking several key data science...
Ad Hoc Data Science
ad hoc (adv) - "for the particular end or case at hand without consideration of wider application" -Merriam Webster...