Martyn Richard Jones, Galicia, 14 May 2025
Amid artificial intelligence’s clamour, the discourse ranges from the delightfully absurd to the soberingly wise. Here are some of the most outlandish and refreshingly grounded reflections on AI from voices across the spectrum.
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Without a grounding in statistics, a Data Scientist is a Data Lab Assistant.
Martyn Jones
Hold this thought: There are big lies, damn big lies and data science with an AI chaser.
Statistics is a science, and some would argue that it is one of the oldest sciences.
Statistics can be traced back to the days of Augustus Caesar. He was a statesman, military leader, and the first emperor of the Roman Empire. Some set its provenance even earlier.
Indeed, suppose we accept that censuses are a part of statistics. In that case, we can trace history back to the Chinese Han Dynasty (2 AD). We can also consider the Egyptians (2,500 BC) and the Babylonians (4,000 BC).
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Hold up, folks! You’re going to love these! They are amazing, beautiful, classy, dazzling and eminently readable. And that’s an absolute understatement of Mel Brook’s proportions.
As a writer, I have several works to my name. This post highlights some of these works. It also offers a quick link to the Amazon platform, where you can get your editions.
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Narrator: How do you raise a data child to be a great, honest, committed data professional? That is the question.
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Narrator: To know data, you must know the grammar of data, information and knowledge. Depending on the language and its precision, accuracy, and richness, we will have a reasonable idea of approaching data and information modelling issues. To know data and information, you must understand the business well. People with a technical background and little or no business knowledge are often oblivious to their ignorance regarding business data and information. When you have a technician in the industry who doesn’t understand this, it’s a problem. If your technician is located thousands of kilometres from your company, it’s a disaster waiting to happen. Let’s listen to Pete and Dud wax lyrical about the importance of language and grammar.
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Narrator: In past times of crisis, we depended more on who we considered to be experts. These days, rightly or wrongly, we have become more cynical about experts and their expert analysis and advice.
An old Russian proverb urges us “to trust and verify.”
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Martyn Jones, Cariño, 14th October 2024
Narrator: Ladies and gentlemen, I give you the fabulous Mel Brooks.
Dole Officer: “Occupation?”
Citizen: “Standup-Philosopher!”
Dole Officer: “What?”
Citizen: “Standup Philosopher. I coalesce the vapours of human experience into a viable and logical comprehension.”
Dole Officer: “Oh! A bullshit artist!”
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Martyn Jones, The Data Contrarian, Cariño, Monday 14th October 2024.
Narrator: Ladies and gentlemen, I give you the fabulous Mel Brooks.
Dole Officer: “Occupation?”
Citizen: “Standup-Philosopher!”
Dole Officer: “What?”
Citizen: “Standup Philosopher. I coalesce the vapours of human experience into a viable and logical comprehension.”
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Just because you can say it doesn’t mean that you can do it
Martyn Jones, New York, 25th September 2024
Narrator: There is a fascinating famous saying, “Just because you can write something, draw something, or say something, doesn’t mean that you can do it”, that I think could be further explored in the context of data and analytics. It seems to go hand in hand with expressions such as “It must be true because I read it on the internet”. Also, it can be pretty surprising how many businesses expect their people to lie where it’s practical and commercially beneficial.
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Physician, heal thyself!
Narrator: Consider this. If the originators, acolytes and sycophants of data mesh hadn’t been so free and easy with how they created and perpetrated technical debt, especially data model and data quality-related technical debt, then we wouldn’t need data mesh to try and get us out of the mess these sloppy developer people put us into in the first place.
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