Just about 3 years ago, multiple applications which were primarily backed by conventional machine learning modules got on to the wave of optimism, driven by promising results of Deep Learning techniques.
At Haptik, we build new chatbots on a daily basis. These chatbots generate data, lots of it. Data including, but not limited to, what messages were exchanged, what data elements were used by the bot to respond appropriately and what problems were detected along the way. This amounts to huge volumes of data generated daily. Clearly, there is a need to interpret that data into meaningful, insightful analytics