Facebook, GDPR, brand safety – suddenly it’s 2018 all over again

Happy New Year 2018

For understandable reasons, the last four, regular monthly episodes of the Small Data Forum podcast have been focused – almost to the point of obsession – on coronavirus. From the uncertain first fumblings of life under lockdown, through escalating mortality and morbidity, and on to a fundamental lack of trust in the competence of blustering, blond, male, right-wing leaders … the last four episodes have had it all.

Some have said that this podcast was made for events like the pandemic, scrutinising as we do the uses and abuses of data big and small in politics, business, and public life. There’s been plenty of that about of late.

So, with lockdown restrictions being lifted all around the world – and Government advice completely ignored on the beaches of Bournemouth in the mini-U.K. heatwave last week, leading Dorset police to declare the overcrowding “a major incident” – our focus in this episode was much more catholic.

Indeed, with Facebook, GDPR, and brand safety the dominant topics, you could be forgiven for thinking you’d fallen through a wormhole in the space-time continuum and teleported back to 2018.

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Reining in tech: responsibility, regulation and education

Our Christmas episode was recorded under the auspices of Janus, the god of all things related to time. Now into the month named after him, the SmallDataForum reviews its predictions and looks at the year ahead:

Will Europe ‘take back control’, or will commercial pressures curb big tech’s enthusiasm? Will 2018 be the breakthrough year for chatbots and DPAs (digital personal assistants), both in business and personal use? How will continuous technological and economic transformations affect connections between people?

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Looking forward by looking back

Janus

As the Small Data Forum progresses through its early teenage years – our latest podcast is episode 14 already – regular co-hosts Thomas Stoeckle, Neville Hobson, and Sam Knowles are taking the opportunity to look forward by looking back.

Patients of our own medicine, you might say, we’re using the year end and what we’ve observed and learned in 2017 to enter the predictive analytics business.

We take our inspiration from Janus, the Roman god of beginnings, transitions, and time, after whom January is named. A sculpture of Janus appears at the top of this blog, from the Vatican Museum.

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Make sense of Big Data with the #SmallDataForum podcast

Big Data

Welcome to www.smalldataforum.com, the new home of the Small Data Forum podcast.

What started off as a breakfast seminar in May 2016 about the business value of Big Data quickly became a regular monthly podcast.

16 months on, our purpose remains unchanged: Neville, Sam, and I strive to make sense of Big Data for business and communications.

In this time, we have produced 11 episodes, all in the same format of a sober German aiming – and occasionally failing – to reign in two unruly effervescent Brits. And not just in discussions of Brexit.

And I’m sure the outcome of the German elections will form a topic for our next gathering. As I’m writing this, Frau Dr. Merkel wins a fourth term in office, in all likelihood in a ‘Jamaica’ coalition with the Greens and the Liberals. And a far-right party is winning perhaps more than 13%.

How good were the polls? What role did fake news play? Was it a Big Data election? Answers in the next podcast!

So yes, the format will continue, and in future we will also have regular guests to widen our, and perhaps our audience’s, horizon.

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11: Winning with data, the fallacy of rational decision-making, and the future of fake facts

For the 11th time, the SmallDataForum convened – this time to explore questions related to the opportunities and challenges of data in business, the rational and emotional side of decision-making, and the continuing erosion of trust and confidence in the truthfulness of information.

Stephen Fry’s fabulous narration of the complete works of Sherlock Holmes formed the backdrop to musings about data sleuthing and the skill sets required for successful forensic analytics.


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