Allan Engelhardt
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cybaea.net
Allan Engelhardt
@cybaea.net
Make money from data - the intersection of business and data science.
They. Did. What!?

"Lloyds used data from 30,000 staff accounts in union pay talks. Bank's customer insights team compared
financial resilience of lowest-paid staff to
customers as part of salary negotiations."

Contract of employment demands employees have a Lloyds bank account.
Lloyds used data from 30,000 staff accounts in union pay talks
Bank’s customer insights team compared financial resilience of lowest-paid staff to customers as part of salary negotiations
on.ft.com
November 11, 2025 at 8:34 AM
This is absurd. And very cool.

A web server with no application logic. Just an LLM with three tools.

github.com/samrolken/no...

Forms actually submitted correctly. Data persisted across restarts. The UI was usable. APIs returned valid JSON.
GitHub - samrolken/nokode
Contribute to samrolken/nokode development by creating an account on GitHub.
github.com
November 5, 2025 at 8:34 AM
Friday #thought for the weekend:

"Modelling the world mathematically is as uniquely a human trait as language or art, but you would rarely find anyone complaining of being 'reduced to a poem' or 'reduced to a painting'."

--- Douglas W. Hubbard: How to Measure Anything
October 31, 2025 at 8:34 AM

A recent survey of #AI advancements provides a useful and broad overview of the field. Two points I took away raises critical questions for corporate governance and #RiskManagement that seem to be understated in the mainstream conversation.

www.linkedin.com/feed/update/...

🧵 1/3
October 28, 2025 at 4:34 PM
Are you building yesterday’s information architecture tomorrow? 🏗️

It's a question worth asking as the pace of AI adoption transforms how we interact with data.

www.linkedin.com/pulse/you-bu...

🧵 1/4
October 22, 2025 at 7:45 AM
Just wrapped up #EARL2025! Fascinating insights on R/Python convergence, pragmatic GenAI, data for good, & the 'last mile' of data science. All driving towards better decisions. Great connections & discussions! How do you stay current? #DataScience #AI

www.linkedin.com/feed/update/...
October 21, 2025 at 7:34 AM
Some #AWS services #failed. That's unfortunate. What is catastrophic is that the us-east-1 region is STILL a single point of failure for the entire global infrastructure. That isn't good enough. It should have been fixed well before the LAST us-east-1 failure 🧵 1/3
October 20, 2025 at 5:21 PM
Reposted by Allan Engelhardt
I have a slide about an unusual data request I once got: can we show that song choruses are appearing earlier due to the economics of streaming (gotta hook people in early to get paid)? I joked that it's not as if anyone's got a database of song structures. But it turns out that someone has...
August 17, 2025 at 1:37 PM
Reposted by Allan Engelhardt
I wrote a thing about substituting LLMs for survey respondents
notstatschat.rbind.io/2025/08/15/i...
Interviewing your laptop - Biased and Inefficient
notstatschat.rbind.io
August 14, 2025 at 11:38 PM
Hallucinations and related reasoning errors are a real problem with #AI and something you have to consider in your governance and controls.

HOWEVER, we have lived with 'hallucinations' in humans for millennia, only we call them cognitive and decision biases. Our monkey brains are rubbish … 1/3
August 14, 2025 at 3:34 PM
An executive proudly shows off their new AI dashboard. “Watch” he says, “AI, show me my most valuable customers.” The screen instantly fills with a list of the highest-spending clients.

The data scientist standing beside him whispers… 1/2

www.linkedin.com/feed/update/...
August 14, 2025 at 7:34 AM
When I started working with commercial organizations, I never understood what all their fuzz and angst about 'Big Data' was all about. Physics, which is my background, now handles 1.5 billion complex megabyte events per second. This article takes me back: spectrum.ieee.org/lhc-radiatio...
1/2
Meet the Chip That Survives Intense Radiation at the LHC
How do scientists ensure accurate data in the intense radiation of the LHC? Discover the innovative chip design that makes it possible.
spectrum.ieee.org
August 12, 2025 at 7:34 AM
> "To beat the working-from-home alternative, spaces should ‘earn the commute,’ and you do that by creating space where people actually want to work, not just the space where they have to work."

#quote #RTO #WFH #true

Your thoughts?

Source: www.mckinsey.com/industries/r...
August 11, 2025 at 3:34 PM
The European Insurance and Occupational Pensions Authority (EIOPA) recently published its Opinion on AI Governance and Risk Management. It’s being welcomed by many as a helpful clarification: no new rules, just guidance.

I am not so sure. Here's why:

www.linkedin.com/feed/update/...
August 11, 2025 at 7:34 AM
It's the weekend. You need cats 🐈‍⬛ You need geekery 🧑🏻‍💻 HTTP Cat has you covered with cats for every status code

http.cat

You're welcome.
HTTP Cats
API for HTTP Cats
http.cat
August 9, 2025 at 7:56 PM
Businesses are drowning in data but starving for insights that transform their bottom line. Why? Because we treat data science like a production line, not a craft. Testing does not trump insights.

I've written a piece that explores this:

www.linkedin.com/feed/update/...
August 8, 2025 at 3:34 PM
Will GLP-1 drugs break #Life #insurance? (No, but...)

GLP-1 are wonder drugs that lead to significant weight loss and improve various obesity-related comorbidities.

That sounds great for life insurers. It could be. People live longer. Profit.

But: www.linkedin.com/feed/update/...
July 25, 2025 at 3:34 PM
Your #AI assistant is already hacked: deal with it.

Robust context-isolation, that is, separating user input from executable code, is not optional, it is **absolutely required, no excuses**. This code from Google should not have been released as a product.

www.linkedin.com/feed/update/...
July 25, 2025 at 1:04 PM
Your #AI assistant is already hacked: deal with it.

Robust context-isolation, that is, separating user input from executable code, is not optional, it is **absolutely required, no excuses**. This code from Google should not have been released as a product.

www.linkedin.com/feed/update/...
July 25, 2025 at 12:54 PM
Your #AI assistant is already hacked: deal with it.

Robust context-isolation, that is, separating user input from executable code, is not optional, it is **absolutely required, no excuses**. This code from Google should not have been released as a product.

www.linkedin.com/feed/update/...
July 23, 2025 at 3:34 PM
The best AI projects often look deceptively simple because they solve real problems rather than interesting technical challenges.

I’ve watched companies pour millions into AI projects for decades.

👇 Here’s what I’m seeing go wrong – and what works. 👇

www.linkedin.com/feed/update/...
July 23, 2025 at 7:34 AM
“Our data isn’t good enough for #AI yet.”

This has become the most sophisticated way to avoid making a decision - and it’s costing companies competitive advantage.

👇 Here’s why the “perfect data” myth is more dangerous than messy data. 👇

www.linkedin.com/feed/update/...
July 22, 2025 at 3:34 PM
Oh God, yes! 🤣 They know us MUCH too well in Copenhagen Airport #CPH. And I did miss #rugbrød...

Ask a Dane and they will explain.... 🇩🇰 It's a #Danish thing
July 9, 2025 at 3:34 PM
Why smart insurance executives are AFRAID of #AI 😨 – and why they are NOT WRONG. ✅

> “If human resource can be trained to cope with and adapt to those data vagaries …then so can AI – in time, probably better and faster.”

👇 Read on for more 👇

www.linkedin.com/feed/update/...
Why smart insurance executives are AFRAID of #AI 😨 – and why they are NOT WRONG. | Allan Engelhardt
Why smart insurance executives are AFRAID of #AI 😨 – and why they are NOT WRONG. ✅ One of my favourite AI observations came from our recent research with Lloyd's Market Association : > “If human…
www.linkedin.com
July 8, 2025 at 3:34 PM
Why #AI #innovation in enterprises fail. I've been making these points, but perhaps it helps to have McKinsey say it:

🔍 1. Innovation is being stifled not by lack of ideas, but by compliance bottlenecks

30–50% of gen AI teams’ time is spent on compliance-related tasks or waiting for compliance. 1/
Overcoming two issues that are sinking gen AI programs
Explore how enterprises can overcome pitfalls by building the capabilities of gen ai with centralized platforms that boost innovation and scale production.
www.mckinsey.com
July 4, 2025 at 7:34 AM