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...

Thriving in the Age of Amazon

Learning from Amazon: data, AI and automation Cast your mind back 20 years (if you are old enough – like me) and imagine a day in 1996. You are bored, so what do you do? Boot up your desktop computer, make the tea while you wait for a minute (or more) for your dial up...

Five ways AI can revolutionise insurance

It’s well known that the insurance industry is one of the most competitive sectors with the highest rates of customer churn which is eroding profitability. Yet look at the speed at which new entrants, such as Lemonade in the US, have disrupted the industry. Five years...

Algorithmic Bias, Discrimination and a Call to Action

As the adoption of AI by businesses gathers momentum, addressing the growing issue of Algorithmic Bias is becoming increasingly important. Recognising that it isn’t just the problem of data scientists, but of society as a whole is key.Four years ago, the software...