note ai

note #ai

greeting

• visitor select question
• article lookup / talk to people

what the goals are? the types of chatbot

rules-based chatbots

• follow pre-designed rules, UI
• follow a design paths

• rely on a pre—determined outcome designed by a human
• such as ‘yes’ or ‘no’, or keywords

AI chatbots

• auto learn after an initial training period by a bot developer

• AT chatbots first understand what your question is

=> analyze user’s request

• identify intent and entities
• reply

• once understand the intent, an answer is delivered based on existing data
• over time, by observing correct/incorrect answers, the machine gets better

at understanding what the “right” answer is

• require a training period, and more effort to start. once they understand your business well, why can be powerful

live act software -switch between chatbot / human

answer questions in real-time conversations,

set goals for your chatbot

• what your chatbot would do

• should be intuitive and easy to use , a simple “agent like” bot will route questions
• A FAQ chatbot
• develop a chatbot with a great understanding of a FAQ - a frequently asked questions page

choose a channel

• text-based chatbot

• offer an API so that bots can be embedded into any communication channel

dialog flow design is important

• decide on what the bot will say at each step

collect the data

• a collection of different ways to say the same thing
• then based on rule-based to collect the data
• the risk is that no answer before

• if a large collection of interactions, then machine learning to learn the most common answers to the most common questions

implement the dialogue flow

• create a classifier to map out the system response according to the incoming

Testing

• a automated test, and a real-life tests with real people

deployment and revision

• interactions should be closely monitored, -> show a possible space for further development