Common challenges with AI conversation tools

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Implementing conversational AI into your team’s workflows can open many doors, but it’s not without challenges. Here are some common hurdles to keep in mind:

Insufficient training
According to The State of Social Media Report, three of the top challenges a company may face in utilizing AI and ML technology in marketing include insufficient training and development for business leaders, limited org experience and a lack of understanding among leaders about how AI and ML work in business. Address this issue by working with trusted AI vendors who can support your team’s ongoing education.

Data privacy
In industries like banking and healthcare, AI conversations require the input russia mobile database of confidential personal information. You’ll need to prioritize data privacy and security and vet the conversation AI apps thoroughly according to industry compliance requirements.

Ever-evolving human language
While AI conversation tools are meant to always learn, the ever-changing nature of human language can create misunderstandings—especially where jargon, slang, sarcasm, regional dialects and background noise are concerned.