How misleading metaphors for ‘artificial intelligence’ lead us astray – and what to do about it
Good metaphors facilitate sure-footed decisions, ill-fitting metaphors can lead us astray. Where common metaphors around artificial intelligence stand on a scale from dangerously deceitful to essentially accurate? And what ‘artificial intelligence’ itself?
Beyond post-its: how to identify worthwhile applications for AI
How could we use artificial intelligence technology? Kick off a brainstorming session like this and you will end up with a lot of post its, but few, if any, realistic opportunities. Here is how to do it better.
How to think about artificial intelligence applications like a designer: a case study
All too often in artificial intelligence, the rush to implement overtakes a full appreciation of the job to be done, leading to underwhelming solutions. In a short case study, we show how to think like a designer first.
Early stopping: how to avoid the AI proof-of-concept trap
Failing fast is not a goal in itself, as budgets and enthusiasm are limited. Before going into proof-of-concept with an exciting AI/ML use case, a rigorous pre-screening is essential to focus precious resources on the right opportunities.