Whether I’m in class or talking to friends, it is often difficult to explain to them what the meta-data in their daily lives can do. It is easy to imagine how big data is used in scientific calculations of meteorological models or for managing transport, but it is harder to see how it can be used in our daily lives.
Today, all companies want more personalised customer relations. However, during this transformation period there is a risk that the customer relationship will focus solely on the technological promise i.e. taking precedence over the relational promise.
Today, artificial intelligence and big data are on everyone’s lips. However, the proportion of companies that truly use the advantages & insights big data can confer to inform their strategic planning is still relatively small.
It is sometimes difficult to create a link between highly sophisticated statistical approaches and business reality. The transformation of data into value is an art that needs to combine three different pillars: business understanding, advanced statistics and technology. This triangular approach needs to be adopted by all machine learning projects.