Blog
Notes on building AI systems. Practical stuff, not thought leadership.
Getting Started with Machine Learning: A Practical Guide for Business Leaders
Understanding when and how to implement machine learning in your organization can be challenging. Th...
The Real Cost of Building vs Buying AI Solutions
Should you build custom AI solutions or buy off-the-shelf products? The answer depends on your speci...
Why Most AI Projects Fail (And How to Make Yours Succeed)
Research suggests that up to 80% of AI projects never make it to production. Understanding the commo...
Natural Language Processing: What's Possible Today
NLP has advanced dramatically in recent years. Here's what modern NLP can do for your organization a...
Building Trust in AI Systems
AI systems are only valuable if people trust them. Here's how to build systems that earn and maintai...
Computer Vision in Manufacturing: Beyond Quality Control
While quality inspection is the most common computer vision application in manufacturing, the techno...
How to Actually Use LLMs in Production
Everyone's playing with ChatGPT. Here's how to actually ship LLM-powered features that work reliably...
Data Requirements for ML Projects
Before starting any ML project, you need to understand your data situation. Here's a framework for a...
Personalization at Scale: What Actually Works
Everyone talks about personalization. Most implementations are basic at best. Here's what actually m...