One of the key challenges in the conversational AI market is the difficulty of creating conversational agents that can truly understand natural human language at scale. The complexity of human language makes it difficult for current systems to grasp context, nuance, cultural references, and non-literal meanings. Even large data sets may not cover every possible interaction or follow-up question from users. Developing conversational AI also requires significant investment in training data and computational resources.
Market Opportunities: Adoption across SMEs
As virtual assistants become more helpful, harmless, and honest over time through continued machine learning, user adoption will likely expand across more use cases and demographic groups. Partnerships between major technology companies and smaller start-ups also aim to more rapidly advance the state of the art. Furthermore, as conversational AI platforms automate more tasks, they could meaningfully reduce costs for businesses and public sector organizations alike.
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