Chatbot and LLM Analytics with Eric Griffing

From the granular details of measuring intent and LLM-based
chatbot effectiveness to the strategic implementation of AI
across business units, Eric provides an in-depth analysis on the
importance of data-driven decisions in the era of AI
transformation.


Join us as we discuss how businesses can leverage analytics to
optimise customer interactions, the common pitfalls in current AI
strategies, and the future of AI in customer service.



In this episode

00:00 Introduction and UNPARSED conference - Find out more at
https://unparsedconf.com


4:32 Welcom Eric Griffing


7:25 Best practice for measuring LLM agents


12:10 Differences tracking ML and LLM bots


14:00 Goal completion


19:00 What's missing


22:00 How to set up tracking on chatbots


24:50 Tracking LLM chatbots


30:37 Air Canada's chatbot issues


33:38 LLM guardrails


37:00 Using data to inform your AI strategy


41:00 Effort over satisfaction


44:30 Tracking customer effort in chatbots


48:40 Market demand for AI analytics


55:40 Wrap up


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how to implement AI effectively in your organisation.


Learn more from Dashbot:


https://www.dashbot.io/blog/360-bot-framework


https://www.dashbot.io/blog/inside-the-black-box-analyzing-your-llm-bot


https://www.dashbot.io/blog/navigating-the-shift-from-intent-based-to-language-model-chatbots


Unparsed, the world's most loved conversational AI conference
returns with more punch, more passion and more impact! Buy your
tickets now here


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