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AI conversational Agents

AI Conversation Agents: AI-driven chatbots/virtual assistants mimic human conversations using NLP and ML. They operate across text, voice, and visual interfaces, integrating with websites, apps, and more.
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Solutions

  • Rule-Based Chatbots: Follow predefined rules for user responses.

  • ML-Based Chatbots: Learn and improve through user interactions.

  • Voice Assistants: Use speech recognition for voice interaction.

  • Virtual Assistants: Simulate human-like conversations.

  • Omni-Channel Chatbots: Ensure consistent experiences across channels.

  • Cognitive Search: Deliver accurate search results with NLP and ML.

  • Intelligent Personal Assistants: Offer personalized help and recommendations.

Examples

  • Rule-Based Chatbots: Customer support and FAQs.

  • ML-Based Chatbots: Personalized banking and financial advice.

  • Voice Assistants: In-car entertainment and navigation.

  • Personal Assistants: Tailored shopping recommendations.

  • Cognitive Search: Enterprise knowledge management.

  • Intelligent Personal Assistants: Personal finance guidance.

  • Enterprise Platform: Consistent support across diverse channels, both customer-facing and internal (HR, Finance).

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