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Navigating the ‘Magic’ (and Caution) of ChatGPT & Large Language Models (LLM) for CX: A New Era for Self-Service & Hyper Automation

Execs In The Know

Pre-trained LLMs recognize variations in speech and language ‘out-of-the-box,’ welcoming natural ‘human’ conversational ways of speaking – no more rigid, ‘robotic’ language within your chatbots and self-service protocols. However, removing supervision also means that the AI might learn incorrect behavior.

CX 52
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10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

Corey works with his customers on reducing their AWS bills, and he’s seen large numbers of cloud architectures in practice, so I think he’s a pretty good source on this. Speaking of premature optimization: nobody likes to waste money, and there sure are many ways to waste money in the cloud. Bias towards high-level services.

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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

But there’s a better way now. Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. If you enjoy our conversation, check out more episodes of our podcast. Then you had to try to reach them via email and convince them to fill it out. Short on time?

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It’s All About The $$$ – How Much Money Can Chatbots Actually Save You?

Comm100

There’s a reason why we’re so attracted to Chatbots (or at the very least, drawn into the conversation): Chatbots promise to do many things. Articles about Chatbots boast the innovation that they bring to the table and paint artificial intelligence (AI) as the future of customer service and marketing. Why Chatbots?