Hey y’all, I’m Hoyt!
Each week, I share news and findings in the world of Data and AI. I span the entire data stack and am trying to help seasoned data professionals move in to the new world of Data + AI.
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Happy Friday!
This is the first installment of what I hope to continue in perpetuity every Friday moving forward. Interesting things I read about in Data and AI each week.
While this is a “listicle” and an extremely lazy Substack newsletter, I think it’s nice to get curated lists of content like this. Especially when there is an unbelievable amount of information out there in the world right now. I stay in my little niche and give you the things that stood out to me the most!
Interesting things I found this week in Data and AI:
I am constantly impressed the way bauplan embraces the patterns of the future instead of reinventing the wheel.
One of their recents blog posts (see below) is an absolute clinic on the criteria necessary to use Data + AI together. I don't think I've read as concise a breakdown to date yet.Stop being lazy with your MCP Servers and give the time they need to design them right:
Betting on Workflows over Agents. Workflows are pre-defined, can be AI-powered but they are not AI driven, and they behave according to well designed protocols and sets of rules.
A prominent Microsoft Fabric and Power BI advocate recently made a blog post about their “a ha” moment with MCP Servers and Data.
”I think this whole #mcp thing will change data analytics as we know it”Benn brings up the very fair question of how we coudl ever know if an AI Analyst is right unless we recreate the analysis ourselves:
Nao Labs was a recent YC startup (I’ve had back and forth with one of their founders) that was looking to be the “Cursor for Data Engineering”. Funny enough, when I talked with the founder I brought up how I was trying to use it for data analysis and it totally bombed the test. Well, they have done some slight pivoting it looks like and now has conversational analytics involved. I’m interested to see how this looks vs a tool like Julian AI.
I loved this glossary for Data AI terms!
Hope that was enough to chew on! I’ll be on the look out for stuff each week so in case you have something you’d like to share (A substack, a project or an article) please send in comments or DM!
First time I come across this type of content on Substack. Fantastic find. I thought Substack was only fiction writing and classic literature. Now I know better.