Skip to content
Using Machine Learning to Improve Dialog Flow in Conversational Applications episode artwork

EPISODE · Sep 13, 2018 · 45 MIN

Using Machine Learning to Improve Dialog Flow in Conversational Applications

from O'Reilly Radar · host O'Reilly Radar

In this episode of the Data Show, I spoke with Alan Nichol, co-founder and CTO of Rasa, a startup that builds open source tools to help developers and product teams build conversational applications. About 18 months ago, there was tremendous excitement and hype surrounding chatbots, and while things have quieted lately, companies and developers continue to refine and define tools for building conversational applications. We spoke about the current state of chatbots, specifically about the types of applications developers are building today and how he sees conversational applications evolving in the near future.

Episode metadata supplied by the publisher feed · Published Sep 13, 2018

Embed this episode

Ready to play

Using Machine Learning to Improve Dialog Flow in Conversational Applications

0:00 45:06

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of O'Reilly Radar?

This episode is 45 minutes long.

When was this O'Reilly Radar episode published?

This episode was published on September 13, 2018.

Can I download this O'Reilly Radar episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!