We recently open-sourced a repository called Multi-Task learning which can help with multiple conversational AI tasks. In this blog, we have explained why such an architecture can change the way we build conversational AI systems and the thought process behind building it. 

Virtual Assistants built today are expected to not just help with frequently asked questions but actually furnish end to end query resolution. In order to be able to provide a holistic & unified experience to end-users, virtual assistants need to be able to carry out these tasks instead of guiding the user or providing a DIY manual.

Keeping scalability with quality in mind, it is always a good option to gradually move to automation so that we reduce the testing time and ship an effective product with minimum defects. Every organization has realized significant business benefits from intelligent automation including revenue generation, speed of execution, accuracy, compliance, and cost savings.