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...

Enriching traditional insurance models with AI

Solving common insurance issues such as customer churn and managing risk through the application of AI, can provide more accurate and predictive outcomes.Insurance has long been a sector which has appreciated the value of its data. No wonder, since in comparison to...

Six factors for modelling with confidence in 2019

Find out why Confidence Scores will become increasingly important in 2019.In the marketing arena the increased use of big data is a dead cert with UK investment in analytics set to double by the start of according to new research by OC&C. The problem with data...