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Watch Dr. Pieter Buteneers' Machine Learning Conference 2019 session

Chatbots suck

JAX Editorial Team
machine learning

Chatbots suck. Watch Dr. Pieter Buteneers break down how and why they suck, how they might be improved in the future, as well as some of the failures he and his team experienced and how they learned from them. This is the talk he gave at Machine Learning Conference 2019.

Everybody who has ever used a chatbot will have a hard time disproving this title. But why is it that chatbots are so bad most of the time? Is the technology really not ready? But why is it then that some chatbots do work?

In this talk, Dr. Pieter Buteneers dives deeper into the why and how. He shows the biggest mistakes they made at Chatlayer, some of the failures they encountered, and the lessons they learned on how to build a good chatbot.

 

machine learningDr. Pieter Buteneers started his career in academia, first as a PhD student and later as a post-doc, where he did research on Machine Learning, Deep Learning, Brain Computer Interfaces and Epilepsy. He won the first prize in the biggest Deep Learning competition of 2015 together with a team machine learners from Ghent University: the National Data Science Bowl hosted on kaggle.com. In 2016, he finished his MBA at Flanders Business School. The last couple of years he consulted many companies where he trained managers and developers to build and implement new strategies to extract value from data using Machine Learning. Now he is making chatbots work for you as the CTO of Chatlayer.ai.

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1 Comment on "Chatbots suck"

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Rahul Panicker
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Thanks for pointing out the things that an ideal chatbot should never do. The emergence of these chatbots have undoubtedly elevated the customer experience, but these first generation chatbots have also left room for growth. The majority of current chatbots are built for simple questions whose responses are guided by keywords or sentences that a human still needs to continuously keep track of an u