TICTAG'S CASE STUDY
Intents & Utterances - Conversational AI
Problem at hand
Conversational AIs such as virtual assistants, chatbots, and recommendation engines only work when they understand what their users are asking them. For every intent, there are hundreds of ways, or utterances, to express it.
Chatbot or Application builders have identified that:
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It takes tremendous amounts of effort to build these INTENTS AND UTTERANCES.
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Machine-generated content can be contradictory and inaccurate
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Integration of change-in-content requests take longer to process
Tictag's Solution
Tictag leverages its crowdsourcing abilities and gamified mobile platform to achieve the solution that Conversational AI Builders need!
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10x Volume of Intents and Utterances Generation
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5x Speed of generation
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Use of human intelligence to generate high-quality data
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Quality Control to sieve out contradictory and inaccurate data
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Respond faster to change in content
Results
Tictag leverages its crowdsourcing abilities and gamified mobile platform to get you the data to build high-quality Conversational AI.
Don't compromise on what your AI can do. Blow your audiences away with a Conversational AI that can be truly intelligent, using Tictag's best-in-class data.
Working on a Conversational AI Model?
Speak with our experts and narrow down your use case/ project requirements. Obtain the accurate data that your model needs
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