Category: Big Data

Posts that contain a reference to Big Data

  • DATA WORLD: DATA! STRATEGY, INNOVATION AND VALUE BULLSHIT

    DATA WORLD: DATA! STRATEGY, INNOVATION AND VALUE BULLSHIT

    Martyn Richard Jones

    Oza dos Rios 9th June 2020

    REMEMBER! BUY MY BOOK! LAUGHING@BIGDATA

    The purpose of language is to communicate—usually the conveyance of meaning from one entity to another. The value of communication is based on the availability of timely, appropriate and adequate information. In this way, it is positive. But communication can also be used to manipulate, deceive and confuse.

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  • Big data’s unvirtuous circus and twelve v-words

    Big data’s unvirtuous circus and twelve v-words

    Martyn Richard Jones

    Bonn; Germany

    LINK: Laugh at Big Data – download my ebook for free on 17th May.

    Many people come up to me in the street and ask me what big-data is all about. It has happened to me so many times in the past that I am convinced that it might just happen to you as well. I know sort of thing, I read the big-data tea leaves. Nothing gets past me.

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  • DATA WORLD: Why I called bullshit on the data lakehouse nonsense

    DATA WORLD: Why I called bullshit on the data lakehouse nonsense

    Why I called bullshit on the data lakehouse nonsense

    I wrote an article that took to task purveyors of the data lakehouse nonsense. It got plenty of positive reactions and quite a few negative opinions. But what surprised me the most were the number of people who had already swallowed their pitch. Hook, line and sinker.

    So why did I bother to express my opinions on the subject?

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  • THE TEN BIG DATA COMMANDMENTS

    THE TEN BIG DATA COMMANDMENTS

    HOW TO SUCCEED WITH BIG DATA

    Here are the ten golden rules of belief for surefire big data success:

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  • REVEALING WEALTH: USING BIG DATA TO FIGHT TAX EVASION – MARTYN JONES

    REVEALING WEALTH: USING BIG DATA TO FIGHT TAX EVASION – MARTYN JONES

    REVEALING WEALTH: USING BIG DATA TO FIGHT TAX EVASION – MARTYN JONES

    If anything, taxes for the lower and middle class and maybe even the upper-middle class should even probably be cut further. But I think that people at the high end – people like myself – should be paying a lot more in taxes. We have it better than we’ve ever had it.

    Warren Buffett

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  • A Brave New World?

    A Brave New World?

    Martyn Richard Jones

    Brussels, 10th July 2019

    The other day, I heard the aimless, timeless and fatuous claim that data is like an onion, and as you peel away the data-layers of the data-onion the data-onion-detail will become clearer.

    Is it me, or is this someone who has never ever chopped up an onion in their life?

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  • Data must adapt or die!

    Data must adapt or die!

    Martyn Richard Jones

    Our bloke in Brussels, 3rd July 2019

    It’s a simple, timeless, human truth; data must adapt or die.

    Read between the lines, the writing on the wall, the fat lady singing and the barking dogs at the gate.

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  • Saving Private Hadoop

    Saving Private Hadoop

    Brussels 7th June 2019

    Martyn Richard Jones

    By all accounts Hadoop is heading down the pan and bits of big data are not that far behind.

    But should we rejoice?

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  • Faking It – Data, media and manipulation

    Faking It – Data, media and manipulation

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    Martyn Richard Jones

    Brussels, 12th May 2019

    It has recently been revealed that political campaigns are taking the unprecedented step of hiring the services of consulting companies that will assist them in reaching, convincing and influencing voters.

    This is a scandalous abuse of power, privilege and technology.

    Big Data and data science are being used on a massive scale to manipulate political elections, control voter behaviour and to undermine constitutional democracy and the rule of law.  There is no doubt about this; I read it on the internet. (more…)

  • CEO BRIEFING: Deep learning and shallow understanding

    CEO BRIEFING: Deep learning and shallow understanding

    Martyn Richard Jones

    Bruxelles, 29th April 2019

    To begin at the beginning

    In spite of or perhaps because of the many years I worked in artificial intelligence I believe that the current long-distance love affair with AI and what is also euphemistically termed ‘deep learning’ to be somewhat irrational in its exuberance.

    In the eighties I was experimenting with automatic feature extraction, pattern recognition and parallel distributed processing (see Rumelhart and McClelland), which led me to adaptive neural networks.

    As a result, my research and development in this field showed me that automatically mining nuggets of gold or automatically gaining real insight from data is not easy, far from stable and frequently not achievable.  Interesting experiments, but frequently impractical in a business setting. (more…)