We will discuss new generation of personal Virtual Assistants, which facilitates conversation based discovery, adds domain specific meaning to sentences, fine-tunes choices, then handles the resulting information in accordance with personal needs, like: "tell my doctor that I have a headache", or - "ask my local retailers to send me their offers". Active Data is the solution for the problem of "if-then" logic and the core model of context-dependent interactions.
As an example, I will use Best Buy development API and NNOD SDK to present the demo of chatbot which was built in 7 days.
I am a software developer and a founder of a startup software company 256gl, that has a goal to deliver AI applications which can "understand". Previously, I used to work as CTO for Outsell, where in 1999-2001 we developed one of the first commercial ChatBots for car dealerships. I was director of Academic Computing and associate professor of department of Applied Mathematics. My current research involves the study of neural networks, contextual and conversational search with practical focus on tools for building personal assistants for healthcare, smart homes, and retail business. My Credo is to merge science and engineering in harmony.