Most Conversational AI platforms support two main types of capabilities:

This will only be the case if chatbots are designed correctly... —

DynamicNLP is an innovative way to bootstrap intent development for a digital assistant. —

Amazon Lex V2 has received a significant upgrade with a Visual Conversation Builder being introduced. This update addresses a material vulnerability in Lex, the absence of a no-code flow designer and builder. —

This article covers the existing Chatbot QnA methods & how Microsoft is approaching answering questions. —

This article looks at which elements constitute CCAI and Microsoft’s laser focus on these use-cases —

Recently Microsoft added to their cognitive services the ability to detect and redact Personally Identifiable Information (PII) in conversational transcripts. This feature not only allows for PII compliance in chatbot & agent chat transcripts, but also for voicebots and customer/agent conversations. The API also enables redaction of audio segments which contains the PII information, by providing the audio timing information for those audio segments.

And why I believe HumanFirst finds itself positioned to be a core piece of the AI/natural language puzzle —

In this article I address three areas of rapid development and growth in Conversational AI currently. These areas include Voicebots (as part of Contact Centre AI), Data-Centric Tooling and Large Language Models (LLMs). Recently I published an updated matrix of the Conversational AI landscape, which was segmented into five broad categories. Apart from the traditional chatbot development frameworks and chatbot tooling, I included two additional categories; those being Large Language Models and data-centric latent space Conversational AI tooling.