We Talk, It Acts: Conversational AI
Billions of people a day use instant messaging apps to share bite-sized chunks of information – not just with each other but also with chatbots, digital assistants, and other apps that use natural-language understanding.
That’s creating a new paradigm for interacting with technology.
Texting your technology
Basic chatbots use preprogrammed rules to perform an action, such as ordering product or answering a question about a customer problem. More sophisticated ones use machine learning to comprehend input based on previously ingested data.
Chatting with chatbots
General purpose digital assistants like Apple’s Siri and dedicated smart devices like Google Home can understand casual conversational requests, interact with other services, and answer at least partly open-ended questions through a single, natural interface.
By introducing deeper artificial intelligence and machine learning capabilities, we are creating solutions that can learn from interactions and context and continually refine their behavior, much as humans do:
The vanishing interface
Eventually, most digital solutions will rely on natural language to communicate with and learn from users. We’ll just talk to our systems like they’re people.
We’ll say what we need, and the smart systems behind the scenes will determine how to deliver it, whether that’s running reports, providing customer support, or booking business travel.
The more we talk to our software, the smarter it will get. It will learn how we work and think, and it will adapt itself accordingly.
Current and potential use cases
Chatbots, digital personal assistants, and enterprise AI will make many services available in a frictionless, personal way, such as:
- Requesting vacation time
- Getting directions
- Making an online purchase
- Approving workflows
- Booking complex travel arrangements
- Requesting the latest performance data
Conversational AI will change how we use technology at home and in the enterprise.