Chatbot Machine Learning
You have data from customer to call centre and support conversations, how do you use this to train your Chatbot? Symilarity can consume question and answers to understand just what the Chatbot is being asked and deliver the relevant answer -Without any human training.
How do you spot delinquent accounts prior to default? Previous delinquent account details can be used to train classifier, and at a multiple of levels i.e. strong to weak default prediction, to automate the entire process. False positives can then be reused in the classification training.
How do you spot customer churn in your accounts and give yourself time to remedy the situation? Previous churn can be used to train a classifier as the training classifier at a multiple of levels i.e. strong to weak default prediction, to automate the entire process. False positives can then be reused in the classification training.
Spending millions of dollars on a new medical or technology product that you intend to patent? Completed patent application forms can be used to match against a corpus of previously approved patents. Has this product been invented before?
Who is the best candidate for the job? You know what a good CV looks like but there are so many to trawl through. Using the CV as your matching template find the best matches in seconds.
Insurance Fraud Matching
Facing a barrage of natural catastrophe insurance claims? Match the claims against each other to see which claimants have copied previous successful claims. Train the classifier with known fraud claims and run in real time against your incoming claims, spot the fraud in real time.
Internal fraud issues look for patterns in emails between unacquainted individuals. Match for known types of words, sentences and documents. Match against Non Obvious Relationships (NORA), in your email data…insider dealing who is talking to who?
For a demonstration please contact email@example.com