Tag: 8

  • HOW NOT TO: 10 Amazing Hacks to Dominate AI

    HOW NOT TO: 10 Amazing Hacks to Dominate AI

    Inspired by conversations with Selina AItana Goya

    Move over, data scientists, those earnest souls hunched over Jupyter notebooks, nursing lukewarm flat whites and dreaming of p-values. The new aristocrats of the algorithm have arrived, and they speak in barely audible breaths. Whispering AI specialists, the hushed virtuosos who coax meaning from murmurs, have quietly annexed the crown once worn by the “sexiest job of the 21st century”. (Apologies to Harvard Business Review; even the sexiest jobs suffer from inflationary pressures.)These soft-spoken savants are not merely surviving the generative-AI rollercoaster; they are redesigning the ride, adding velvet restraints and mood lighting. To avoid being flung into the souvenir shop of obsolescence, you must master ten career-extending hacks. Consider them the conversational equivalent of whispering sweet nothings into a supercomputer’s ear: intimate, precise, and oddly lucrative.

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  • Big Data Predictions for 2017: How did we do?

    Big Data Predictions for 2017: How did we do?

    landscape-shore-sunset-clouds.jpg

    Martyn Richard Jones

    Gif sur Yvette, 5th January 2018.

    It’s that time again.

    However…

    I forgot to send festive greetings cards. I forgot to buy presents. And, I forgot to do my usual festive time articles on times past, times present and times future.

    But, I’m getting there.

    This is a look back at my Big Data predictions for 2017 (Big Big Big Data predictions) and how I did. There are ten predictions so it’s not a Norse Saga… Okay, give me a break already, it’s only the 5th of January… (more…)

  • Big Data Predictions for 2017

    Big Data Predictions for 2017

    Mount_Everest_as_seen_from_Drukair2_PLW_editBig Data Predictions for 2017

    Prologue

    You want Big Data predictions for 2017?

    You’ve got ’em!

    These are my Big Data, Data Warehousing and Analytics extrapolations for 2017. They are based on extensive, exhaustive and enigmatic work carried out by top-notch researcher gurus at Cambriano Energy, between December 2015 and December 2016.

    So, stick with us as we survey the landscape that will be Big Data in 2017. (more…)

  • Big Data? Dopey Quotes?

    Martyn Richard Jones
    Remastered for 2026
    Imagen1

    I came across a blog post titled “The Best Big Data Quotes Of All Time”.

    At first, I ignored it. I really like the author, but I’m generally not a fan of this type of ‘content’; of top 10 lists or cute collections or amazing pussy cat videos on YouTube, although I respect other people’s tastes.

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