Nexus Lab Cohort 2 – Bowtie

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

The podcast you’re about to hear is the second of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City. In this episode, I speak with Ron Fisher and Mike Wang, who, along with Vivek Sudarsan founded Bowtie Labs, a 24/7 AI-based receptionist designed to help businesses in the beauty, wellness, and fitness industries increase retail conversion rates.

I’ve talked with a few startups in the conversational space recently and one common theme seems to be quickly outgrowing commercial conversational platforms. Ron and Mike shared their own experiences with decision, and shared some of the challenges they’re trying to overcome with their ML models, as well as some of the techniques they use to make their system as responsive as possible.

Thanks to Our Sponsor

This Future Labs AI Summit series is brought to you by our friends at the the NYU Future Labs AI Nexus Lab. Future Labs offer the businesses of tomorrow a network of innovation spaces and programs that support early stage startups in New York City. Acting in a venture catalyst role, they accept high potential companies and build on their success with an approach that emphasizes success rate, sustainability, revenue, and growth. We appreciate the continued support of the FutureLabs, and encourage you to check out some of the great stuff they are working on at

TWIML Online Meetup

The details of our next TWIML Online Meetup have been posted! On Tuesday, November 14th, at 3pm Pacific Time, we will be joined by Kevin Tee, who will be presenting his paper “Active Preference Learning for Personalized Portfolio Construction”. If you’re already registered for the meetup, you should have already received an invitation with all the details. If you still need to register for the meetup, head over to to do so. We hope to see you there!

About Ron, Mike & Vivek

Mentioned in the Interview

Leave a Reply

Your email address will not be published.