At Haptik, we deal with a lot of noisy conversational data. This conversational data is…
Just about 3 years ago, multiple applications which were primarily backed by conventional machine learning…
In this blog, we talk about the capabilities of our Analytics Dashboard for analysis of data generated by our chatbots on daily basis.
This post talks about how we use machine learning and text-to-speech (TTS) to set reminders for users and how Amazon Polly helps us with that.
At Haptik, we have a feature where a user can set a reminder for their daily tasks and we call them to remind them about it. In this blog, we tell you how we have implemented such complex flows using finite state machines.
Today, we are open-sourcing a part of our proprietary technology powering Haptik’s apps – Chatbot NER. Chatbot developers across the globe can use Chatbot NER straight-out-of-the-box to build intelligence into their chatbots.