Tag Archives: Big Data

AI Panic: What CEOs Must Know About the Tech Talent Gap

04 Thursday Dec 2025

Posted by in Inform, educate and entertain.

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CEOs and the Magic Mitten of Hallucinations

Martyn Rhisiart Jones

Oza-Cesuras, 4/12/2025

CEOs are panicking. Again. They’re not worried about a recession. It’s not a hostile takeover. It’s not even the GDPR lurking in their inbox like a passive-aggressive ghost. They’re panicking because of AI. Yes, apparently there’s a talent gap. A yawning, gaping chasm of human inadequacy between what exists and what robots can do. Only the CEOs are brave. Some may even be desperate. They are the only ones who stare into it without blinking or vomiting on the nearest whiteboard.

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The Role of Statisticians in the Age of Data Science

17 Thursday Apr 2025

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Did data and AI kill the statistician?

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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Getting business value from data? Commercial analytics is where it’s at

29 Tuesday Mar 2016

Posted by in All Data, Analytics, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, Commercial Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones, pig data, sentiment analysis, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

Overview

I first became involved in commercial analytics in the eighties. First, through my involvement in customer segmentation and data visualisation, principally in banking but also in energy, manufacturing and the chemical industry. It also emerged later, in conjunction with my activities at the Sperry European Centre for AI, and was centred on pricing and yield management applications developed using a combination of statistical techniques, expert system technology and data centre architectures all tightly integrated within a 4GL development and delivery environment. This provided a comprehensive and seamless scenario building, hypothesis testing and reporting capability. Continue reading →

Big Data: And it’s all gone quiet over there!

29 Tuesday Mar 2016

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, Cambriano, Consider this, dark data, data architecture, Data governance, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Big Data is all pervasive, all seeing and all knowing.

Everyone is doing Big Data, and if they aren’t then they will.  It’s inevitable.

Big Data will revolutionise the worlds of data, decision making and business.

Am I right, or am I right?

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Consider this: Big Data Inertia

22 Tuesday Mar 2016

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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“Half the time she did things not simply, not for themselves; but to make people think this or that; perfect idiocy she knew for no one was ever for a second taken in.”  Virginia Woolf, Mrs. Dalloway

It’s all very well for the blithering Big Data bullshitter savants to now claim, after a massive exercise in u-turning, that Big Data isn’t after all about data volumes, velocities and varieties, but about some minor variation on the theme of data architecture, management and processing.

But, look at the mess! Continue reading →

Too Much Information

16 Wednesday Mar 2016

Posted by in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

I have questions about data.

Most of us who have more than a cursory knowledge of the English language have heard of the phrase ‘too much information’. We know what it means, even if we don’t always know when to apply it.

For those who don’t know, or are unsure, the Urban Dictionary describes ‘too much information’ as “An expression of exasperation and disgust when a person is divulging personal details of his sex life, toilet habits, or anything the listener finds disgusting, uninteresting, and unwelcome.”[1]

Sum, sum. Just because we know it, doesn’t mean we should share it or even try and remember it, never mind go about analysing the hell out of it.

This is where Big Data comes in. Continue reading →

Testing the Data Warehouse

05 Saturday Mar 2016

Posted by in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Image1Martyn Richard Jones

Dusseldorf, August 2006

Data Warehousing provides possibly one of the best opportunities for IT organizations to deliver a valuable business solution in order to address a set of business needs; requirements that go well beyond the area of day to day operational support, and traditional applications (web enabled or not), and when Data Warehousing is done the right way, and for the right reasons, its payback to all of its stakeholders can be positively significant. Continue reading →

12 Amazing Big Data Success Stories for 2016

22 Tuesday Dec 2015

Posted by in Big Data, Big Data 7s, Big Data Analytics, Consider this, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Inform, educate and entertain., IT strategy, Martyn Jones, Martyn Richard Jones, The Big Data Contrarians, Uncategorized

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If this piece tickles your fancy, then please consider joining The Big Data Contrarians on LinkedIn:

https://www.linkedin.com/groups/8338976

Every year I ask myself the same question. Will there be any tangible, coherent and verifiable Big Data success stories in the coming year? Every year I come up with nothing. Nothing at all. “Sorry, no rooms at the Big Data Success Inn, as we are closed for vacations.”

However, this year things are different. More positive, more alive and more fantastic. Continue reading →

Big Data Predictions for 2015: What happened next?

07 Monday Dec 2015

Posted by in Big Data, Big Data Analytics, business strategy, Good Strat, Good Strategy, goodstrat, IT strategy, Martyn Jones, Martyn Richard Jones, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians, Uncategorized

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Towards the end of 2014 I gazed into the amazingly incredible crystal ball called Good Strategy, well known and admired by the readers of the Good Strat Blog, and made some predictions about Big Data for the year to come. The year of the goat. As I write now we are reaching the end of the wonderful year of 2015 – an anno quite-allrightus. So, equipped with good cheer, emboldened by the thoughts of passing the vacations with loved ones, friends and family, and heartened by my impending (albeit temporary) demobilization, I have decided to look back at my predictions of a year ago, to see how accurate or mistaken they ‘have become’, and to share those reflections with you. Continue reading →