We’re on the cusp of a future where smart devices have no common interface, just conversational control.
At present, these intelligent objects can dim the lights, order an item you’re running low on and stream your favourite song. With practice, and by the virtues of machine learning, these experiences will become ever more capable in time.
Bots absorb behavioural insight, with the important ability to determine common context from user queries.
So when the user asks: “What will the weather be like in Liverpool this weekend?” the bot accesses the appropriate services, sparing the user from getting stuck in a launch loop.
Through the study of patterns (and a hefty dose of data collection), bots will advance to better anticipate desires, with machine learning replacing statistical algorithms.
It can be easy for analysts to get bogged down in a sea of raw data. However, with the power of a conversational UX, analysts can engage with an interface that integrates directly to their analytics platform.
Bots will get to the heart of what users are actually interested in, as opposed to metrics that show which buttons are clicked and how much time users spend on a page. This expedites what can be gleaned and speeds up improvements to the user experience.
These experiences become even more compelling when the AI component advances beyond simple listening and task completion and actually serves as a collaborator – intelligently offering services or answers that the consumer could find interesting.
A future where bots act as the face of a brand and play the role of a personal assistant simultaneously is legitimately thought-provoking – for better and for worse. All we can do for the time being is sit back, engage and learn from our digital discourse.