Archives: May 2020

Three reasons why an AI project will fail

AI projects, particularly in large institutions, are riddled with challenges from the outset. As we’ve mentioned before, one executive at a major UK bank suggested that 90% of their AI projects fail to make it through to production. And that is in a bank with a fairly sophisticated data science capability and approach to digital […]

Don’t ask too much from your Data Scientist

Data science as a profession is still extremely new. Data and statistical modelling were used to make predictions long before data scientists existed, but this role has become more established as the world shifts towards a data-driven approach. As a result, the specification for a perfect data scientist still lacks clarity. To be considered for […]