The digital products and services we use are becoming increasingly more ‘clever’ and ‘smart’. But before we make bold claims about predicting our customers’ actions, we first start by anticipating them (guestimates). In a single day we create extensive footprints of data. For starters, there are the points we earn on store loyalty cards, the way we interact with Facebook, and our activity in Google products. Plus we can self-track almost everything from sleep to exercise to mood. These data sets prove valuable in making the services we use more personalised. But, taking that idea further, we can now make things even more relevant to our desires.
You will learn about:
Ambiently personalising products & services
Combining data to generate better personalisation
Examples of ambient personalisation in action
The uncanny valley of personalisation
The principals for making a great anticipatory service
Talk given at: