Author Archives: VC Ramesh

I was meeting with a non-technical business colleague/manager recently, and he asked me to explain some of these AI terms like machine learning and deep learning. “Is machine learning a type of deep learning, or is it the other way … Continue reading →

Why am I here? As 2017 rolls in, a few of us are probably pondering this metaphysical question. As they drop the ball in Times Square, you are asking yourself “How did I drop the ball?” But, don’t worry, this … Continue reading →

Most bots today are authored using bot building platforms such as api.ai or wit.ai. These tools typically have 3 components: Intent classifier: Maps user utterances into the most relevant intent, where intent signifies the goal or action that the user … Continue reading →

Customer care/service/support is a natural application domain for chatbots, where they can be used to replace or augment existing Interactive Voice Response (IVR) systems. Naturally, we must ask ourselves what we can learn from decades of experience with IVR systems, … Continue reading →

Looks like everyone wants to be a chatbot entrepreneur these days. Conversational AI is one of the hottest startup market opportunities right now. If you are preparing to throw your hat in the ring as a (B2B) chatbot entrepreneur, as … Continue reading →

One approach to building conversational (dialog) chatbots is to use an unsupervised sequence-to-sequence recurrent neural network (seq2seq RNN) deep learning framework. About a year ago, researchers (Vinyals-Le) at Google  published an ICML paper “A Neural Conversational Model” that describes one … Continue reading →

This is a good overview of data-driven dialog systems (bots) based on a survey paper. A survey of available corpora for building data-driven dialogue systems