By JEANETTE KNIPP If you only have a hammer, everything looks like a nail. All…
In the lab, artificial intelligence is taking adult strides. But outside the lab, it’s just taking baby steps. So this is a time for exploration. Here we share our mistakes, what we’ve learned and what we’d do next time.
Is your AI project ready for Proof of Concept? Here are 3 ways to check
By PAUL VON BÜNAU Many AI projects are taken to a Proof of Concept (PoC)…
Ideation in AI: five ways to make the workshops work
By PAUL VON BÜNAU Too often, ideation is performed without structure or scrutiny. We must…
Mundane, but magical: the power of database matching
By MONA SCHIRMER With its reputation for being dull and straightforward, database matching is hardly…
A private function: how privacy-enhancing technology unlocks data analysis potential
Can data be analysed to the full without compromising individuals’ privacy? Lisa Martin, strategy associate…
Cutting through the laptop installation jungle: How our MacBook setup repository helps our Data Scientists to organise their tools in only half a day
By HONG ZHU For me, one of the most frustrating parts of learning to program…
A Modern Visualization of Group Comparisons
By JEANETTE KNIPP More and more companies, governmental institutions and researchers employ data-centric methods to…
(Errors in) Communicating Statistics: Base rate neglect
By LUIS DREISBACH When the results were in on last June 26th, most of those…