Barely Reviewed Code
Code reviews can be challenging in many places, and with AI, could be even more of an issue in the future.
2026-04-08
37 reads
Artificial Intelligence (AI)
This Week's AI Trust Problem Became Everyone’s Problem
There’s a saying in security circles: the weakest link isn’t the lock on the front door but the spare key under the mat. This past week gave us two vivid, simultaneous demonstrations of that principle, and if you’re building anything in the AI space right now, both deserve your full attention. The Mythos Leak and […]
2026-04-04
124 reads
2026-03-30
116 reads
Dancing Robot Goes Rogue
The headline says it all and Steve thinks this could be a problem in the digital world as well.
2026-03-28
61 reads
Doing the Little Things
There are a lot of tasks that DBAs and developers struggle to get done. These little things can be important, and perhaps AI can help us keep on top of them.
2026-03-25
92 reads
Everything is the right question away
When working with an AI LLM, you have so much knowledge at your fingertips.
2026-03-23
124 reads
I’m Not Gonna Waste Time Debunking Crap on LinkedIn.
LinkedIn is full of absolute trash these days. Just flat out b****** garbage. (Oh yeah, that – this post should probably come with a language disclaimer, because this stuff makes me mad.)
2026-03-16
Supervised versus Unsupervised Training of an Artificial Neural Network
Supervised training of an artificial neural network entails training the network to associate defined patterns with specified labels. Optical Character Recognition is an example of supervised training, where each input pattern is mapped to an alphanumeric character. In unsupervised training, a neural network learns to extract recurring patterns from noisy data. One of the earliest […]
2026-03-06
1,107 reads
Designing SQL Server Pipelines That Are Ready for AI Before You Actually Need AI
Introduction. Why AI Readiness Starts in the Database You probably don’t need machine learning today. Most organizations don’t. You already have reporting dashboards, operational workflows, and business intelligence that work just fine without neural networks or predictive models. That’s not a failure. It’s normal. The problem doesn’t show up immediately. It shows up a few […]
2026-02-27
2,120 reads
2026-02-25
92 reads
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Using OPENJSON
Comments posted to this topic are about the item Using OPENJSON
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers