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Giant Otter Technologies

  • Technology & Internet
  • 0 Case Studies
Advanced conversational artificial intelligence for messaging and voice

May 17

How Top-Down Chatbots Fail #1: They Don't Get It

Intent recognition is a critical task for any natural language chatbot. Word embeddings were a big step forward but classifiers that rely solely on these still make basic mistakes. Giant Otter's deeper classifier and better intent training process can help your bot get beyond these hurdles

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Aug 28

Top-Down Chatbots Fail #5: They Don't Remember

Cross-channel, cross-conversation persistence is the chatbot triple axel only Giant Otter can pull off. Other bots attempt to stick the landing, but fail — and when a bot doesn’t remember the past, it doesn’t know what to do in the moment.

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Aug 14

Top-Down Chatbots Fail #4: They Lose Track

Complex, clever handcrafting can’t help a chatbot converse like a truly helpful part of your team. The issue is bigger than sounding wooden or seeming clueless — it’s big-picture. And you don’t want conversations to feel more fluid, you want them to be more fluid.

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Jul 03

Top-Down Chatbots Fail #3: They Seem Stiff

A bot built with Giant Otter’s tools are rich with paths and able to adapt. By learning from actual conversations, Giant Otter-powered bots cover closer to 80% of needed flows, letting customers interact in the ways that feel right to them.

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