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Start Here

There are several reasons why hiring data science talent is not straight forward.

Retaining Data Science Talent

Churn in the data science talent market is real, and has many obvious downsides for employers.

Winning in (Fantasy) Football

As sports franchises increasingly turn to data and analytics to drive performance, a data-led approach to team selection could well help

Working for the Man

Personalisation is the holy grail of modern customer facing businesses, like banks, retailers and streaming music services

Pull Up Your Socks!

If it were possible to use machine learning to predict which people were most likely to develop depression, it could be invaluable help

How To Be a Super Hero

Just as the Avengers End Game breaks box-office records around the world, machine learning can turn ordinary humans into super heroes.

Don't wait too long

The further you go down the “I’m-not-ready-for-AI” path, the harder it may be to break out.

Don't be left in the dark

Organisations that do not fully leverage their reach, efficiency or productivity are in essence shooting themselves in the foot.

It’s a dangerous world out there

Just like the pirates of old who raided and plundered other ships and settlements for gold and other bounty, data attracts unscrupulous...

Taking the fear out of data science

As the world of data science advances rapidly, it becomes an increasingly scary black box that many would prefer to leave unopened

Laughing Out Loud

Here are four lessons from the world of stand-up comedy that bear surprising similarity to the art of data science.

We have work to do

While AI isn’t exactly new, its effects are truly starting to be felt in our everyday lives. And as with any new technology, it’s difficult

It pays to be skeptical

I’ve been thinking this week about alternative truths, distortions of reality, and the accuracy of human memory

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