The SalesForce World Tour was recently held at the Convention Centre in Darling Harbour, Sydney. Kicked off by awesome numbers from our very own Jessica Mauboy and a keynote from Mark Hawkins, the CEO of SalesForce.
It was interesting to hear from a company that is helping so many businesses with their digital transformation efforts. The top 5 transformation themes for enterprise are;
While we naturally agree with connectivity and mobility, it was gratifying to see Intelligence at the top of the list.
For their part, SalesForce has created “Einstein” – an AI data scientist tool within SalesForce.
“Einstein is like having your own data scientist to guide you through your day. It learns from all your data, and delivers predictions and recommendations based on your unique business processes. In some cases, it even automates tasks for you, freeing up time for you to connect with your customers”
This is great news because solutions like this take context into account for the user. For some time now we’ve been exploring the opportunities to understand the behavioural data that mobile apps provide to identify opportunities to improve customer experience.
Adding intelligence to the customer experience requires having the capability to distill insights from the data stream. We’ve been playing with R Analytics to do exactly that. The chart below shows foot-fall flows based on triggering beacons in an experimental space.
Visualising foot traffic flows between beacons
The width of the flows indicates how many times mobile devices engaged from one beacon to another, and the pink dotted lines indicate backflows. Having visualised this data, now it is possible for us to explore how to improve the experience through the use of prompts and nudges.
While we don’t have Einstein, we have been working on a few prototypes with IBM Watson. In particular using the Voice and Conversation APIs to create moving experiences. More on that in our next blog post.
And here is a robot we met at the event.