One of the most enjoyable aspects of my role as CTO for Capgemini's Business Services is being able to work with technology companies that are pioneering breakthrough innovations – and this is one of the reasons we created our global partnership with Celaton in 2016. Their work around AI and machine learning is impressive to say the least, and the industry is taking notice – Celaton recently received the 2017 Queen's Award for Enterprise in Innovation for the development of their inSTREAM offering. I've had the pleasure of collaborating with Celaton's CEO, Andrew Anderson, applying inSTREAM to improve business process transformation for our clients. In this blog, Andrew shares some of his insights on how machine learning can help manage unpredictable data volume and deliver significant benefits in finance and accounting. According to a recent study, we create a staggering 2.5 quintillion bytes of data every day.