In data we trust. Or do we?

Anyone in business is aware that the accuracy and latency of the data driving their decisions is key and that trust in the process that presents the data they work with is essential. However, the majority of data specialists, analysts, data scientists and data quality...

Why is Explainability important and how can it be achieved?

By law, organisations must take accountability for how they are using and processing data. Exlainability is key to this. Picture this: you are a data scientist and you are reviewing a neural network architecture built by one of your colleagues. The model is highly...