No Support for Native Languages

[mouakter11]

While conversational AI is transforming businesses unlike anything before, it is not without challenges. Here are some of them –

Since a large portion of the world’s population does not speak English yet, one of the major challenges of Conversational AI is support for non-native speakers. Building conversational AI capabilities and support in non-native languages is crucial to spreading the awareness of conversational AI, and this still remains a challenge for widespread adoption of the technology.

Language Comprehension
Conversational AI gets its raw input in the form of language, and this language can be in different dialects and can even contain background noises. In addition to this, there can be different slangs which the AI engine will dentist data find difficult to comprehend.

Handling Simultaneous Conversations
Voice assistants that are the prime use case of Conversational AI are often placed in the living rooms of customers, where they must distinguish between a set of voice commands to the voice that is originally programmed. This comprehension is a major challenge to develop, since the voices can sometimes be similar and also the AI has to filter out the background noise too.

Data Privacy and Security
Collecting and processing user data for conversational AI raises concerns about privacy and security, requiring robust measures to safeguard sensitive information.

Handling Complex Queries
While conversational AI has come a long way in terms of its capabilities to handle different user inputs, it may still struggle to address complex or ambiguous user queries, potentially resulting in suboptimal responses and user dissatisfaction.