And I’m back with my latest in the ML & AI article series!

With the fourth article in this series, I wanted to dive deeper into the different types and forms of AI solutions, without getting into the technical details that most AI articles do:

🚀 Overview of capability- and functionality-based AI terms (think Narrow AI or AGI)

💡 Grouping and defining the practical applications of AI (e.g., LLMs, RAGs, Computer Vision, AI Agents, etc.)

🎯 How to approach all these things intelligently (and not just waste a ton of money)

This article isn’t the most comprehensive thing you’ve seen, but it will get you started and provide a good overview on terms you hear all the time but don’t quite understand

After this, there are two articles left in the ML & AI series. This one is probably the most relevant, so definitely take a peak and give the newsletter a subscribe click if you want to stay informed in more Data Ecosystem insight!