Introduction As the data-driven world continues to evolve, the quest for accurate and reliable insights becomes increasingly important. Data science teams have traditionally relied on correlation-based approaches to understand relationships between variables. However,...
In 2019, Google carried out a study of gender discrimination in their organization. Shockingly, they found that men were actually paid less than women and increased men’s pay as a result. The US Dept. of Labor looked at the same study and disagreed, finding that (as...
Understanding causation instead of mere correlation is one of the hot topics within the AI community. Prof Judea Pearl’s breakthrough work on causality won him the Turing Award in 2011 and two economists shared the Nobel Prize in 2021 for their work on the topic....
In recent weeks, there’s been a huge amount of press on the ‘Metaverse’, mostly driven by Facebook’s rebranding to Meta and their related announcements. Despite the mocked-up videos featuring Mark Zuckerberg and his avatar (did anyone else have trouble distinguishing...
AI That Knows Why Understanding causation instead of mere correlation is one of the hot topics within the AI community. However, very few people understand how to merge causality with traditional data science and most of the research is focused on using causality to...
Stu Frost, CEO, Geminos Software At Geminos, we believe that the ‘next big thing’ in AI is causality. This belief is backed up by a series of recent data points: Articles that literally say “causality is the next important thing in AI” – http://bit.ly/3uvMwzJ An...
We Need More Chandlers! OK, so Chandler wasn’t exactly a data scientist (and no Rachel, he wasn’t a “transponster”), but hopefully you get my point – we need a lot more people in data analytics if the new Industrial Revolution is going to happen or we need to make the...