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Small Data Forum Podcast

How do you make Big Data less intimidating, more actionable and thus more valuable? That is the question at the heart of the Small Data Forum, an initiative by LexisNexis Business Insight Solutions to listen, learn, share and educate ourselves and others who grapple with the challenges of the information avalanche.
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Now displaying: May, 2020
May 31, 2020

Apparently 2020 is what you get when you put together 1918, 1929 and 1968. With just over 40% done, it’s a bit early to say. Or is it?

Pandemic – tick. Global recession – about to hit. Political turbulence and social unrest – we’re only getting started. At least 1968 was followed by the year of moon landing, and Woodstock.

Fifty years and a bit on, we’ve just had the first private company sending astronauts into orbit (though not quite with e-rockets; Elon needs to work on that). And the next Woodstock is likely to be a smorgasbord of Zoomed home gigs.

Continue reading -> https://www.smalldataforum.com/

May 3, 2020

It is said that French mathematician Blaise Pascal, Mark Twain, Oscar Wilde, and Winston Churchill all said: “I would have written you a shorter letter, I just didn’t have the time.” They may all have originated that sentiment, some may have quoted others, or all the attributions could be faulty. How to know? How to sift through the unmediated annals of citation history?

A similar predicament faced we three hosts of the Small Data Forum podcast as we gathered for our latest – and thirty-fifth – instalment of this semi-structured ramble-chat through the uses and abuses of data big and SMALL in politics, business, and public life.

Like so many of our fellow workers in the knowledge economy, we three musketeers had all been working from home for the past six weeks of lockdown U.K. (though we all had plentiful WFH experience before the pandemic). And like so many organisations, we have been forced to pivot our focus and output.

For a podcast obsessed with Trump and Brexit, Facebook and Cambridge Analytica since our foundation back in May 2016, we now talk about little else than the consequences, data, and language of COVID-19.

Continue reading -> https://www.smalldataforum.com/

 

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