Developing baselines for predictive models
What LLM chatbots teach us about AI in general
Building a training dataset is hard
Grocery bots and chlorine cocktails
Generative AI, APIs, and third-party risk
Why do we need data scientists, then?
ML models and why chatbots don't really "think"
AI isn't something you just add to a company
ML for Executives, Part 2: What Your Company's Data Scientists Do
The top failure modes of an ML/AI modeling project (Part 2)
The top failure modes of an ML/AI modeling project (Part 1)
When your ML model is living in the past
When companies ask me: "What should we do with our data?"
ML for Executives, Part 1: High-Dimensional Pattern Matching
No Silver Bullets
Periods, Question Marks, and now Ellipses: The Punctuation Marks of Data Analysis
Business Stakeholders: Three Questions to Improve Your Communications With Data Scientists
When "Constants" ... Aren't
Preparing your Chief Data Officer (CDO) for Success
Towards Quantification: Finding Hard and Soft Numbers In Your Business
Undervalued Practices in ML/AI: Conclusion
Undervalued Practices in ML/AI, Part 4: Project Execution
Undervalued Practices in ML/AI, Part 3: Planning Projects
Undervalued Practices in ML/AI, Part 2: Hiring and Team Structure
Undervalued Practices in ML/AI, Part 1: Getting Started
Undervalued Practices in ML/AI: Series Introduction
The Lifecycle of an ML/AI Model
Technology Alone Will Not Save You
Are You Using ML/AI for Automation? or for Innovation?
Question Marks and Periods in the World of Data
Competitive Advantage in ML/AI
Treating Your ML/AI Projects Like A Stock Portfolio
Setting Expectations for ML/AI Projects
TCM: Total Cost of (ML/AI) Model
What should my company do with its data?
How Do I Get More Data?
How Much Data Is Enough?
Data Ethics for Leaders: A Risk Approach (Part 5)
Data Ethics for Leaders: A Risk Approach (Part 4)
Data Ethics for Leaders: A Risk Approach (Part 3)
Data Ethics for Leaders: A Risk Approach (Part 2)
Data Ethics for Leaders: A Risk Approach (Part 1)
Business Intelligence: A First Step to Data Science
The Importance of Data Infrastructure
What is a data strategy, and why do I need one?
How Do You Know If Your Company Needs Hadoop?