Info

Small Data Forum Podcast

How can we make Big Data less intimidating, more actionable, and so more valuable? That is the question at the heart of the Small Data Forum, a seriously light-hearted look at the uses of data – big and small – in politics, business, and public life.
RSS Feed Subscribe in Apple Podcasts
2023
December
October
September
August
July
June
May
April
March
February
January


2022
December
November
October
September
August
July
June
May
April
March
February
January


2021
December
November
September
August
July
May
April
March
February
January


2020
December
November
October
September
August
June
May
April
March
February


2019
December
November
October
June
April
March
January


2018
December
November
October
September
July
June
May
April
February
January


2017
December
November
October
September
July
June
May
March
February


2016
December
September
July
June


All Episodes
Archives
Now displaying: July, 2023
Jul 31, 2023

After seven years of vigorous podnostication, the SmallDataForum reaches its diamond anniversary. Or semi-sesquicentennial (‘half one hundred and fifty’) as Sam (of course!) informs us. Seventy-five episodes of wondering and pondering about the strange times we live in, with absolutely no end in sight.

Our almost hour-long Zoomwag starts with the battle of the micro-messaging platforms: X vs Threads, Twitter vs Meta, Elon vs Mark – the digital cage fight over the monetizable part of the networked world. Tech maven and serial early adopter and experimenter-user Neville explains it all with exemplary breadth and depth.

Social anti-social media

“Mega instant network” Threads is actually part of Instagram and should thus be called Instagram Threads. Neville highlights benefits – it’s so easy to attract an audience, just follow all your Insta friends – as well as costs:  if you decide to uninstall it, it will also uninstall Instagram.

We hear about Threads’ instant success, with more than 150m downloads and over 100m active users within days (though the latest news is that half of the early users have since left again).

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

1