BOOK NOW FOR your podcast
Liam Delap
Chief Product Officer at Pypestream
- Product
- Podcast Pro
- 📍 New York, NY
Nobody wants to call a call-center.
Consumers expect more.
Pypestream facilitates millions of automated support messages for the world’s biggest brands.
Liam leads Pypestream’s enterprise team. They have raised more than $40 million and hold 6 US patents on their proprietary artificial intelligence platform.
Their audience is greater than 10,000 and Liam is happy to share your episode with his fans!
read more
BOOK NOW FOR your podcast
Liam Delap
Director of Enterprise Solutions at Pypestream
- 📍 New York, NY
- Podcast Pro
- Product
Nobody wants to call a call-center.
Consumers expect more.
Pypestream facilitates millions of automated support messages for the world’s biggest brands.
Liam leads Pypestream’s Enterprise team. They have raised more than $40 million and hold 6 US patents on their proprietary artificial intelligence platform.
Their audience is greater than 10,000 and Liam is happy to share your episode with his fans!
read more
As seen on
“One of the biggest barriers to conversational Ai is data,” explained Pypestream’s Rahul Garg. As the Chief Product Officer heading up product and engineering, his team is responsible for building conversational AI platforms and products. And while the future for conversational AI looks bright, it’s not without its challenges. read more >>>
Timeline
Oct 2019 – Present
Digital Automation Leader and Director of Enterprise Solutions
The market’s most advanced conversational AI.
Go above and beyond chatbots. Elevate customer experience to a whole new level with an end-to-end contact center transformation.
Ask me
| What are the latest trends in enterprise AI? |
| What are the top uses for conversational AI and customer experience automation today? |
| Where do you start if you want to build a new tech platform in the cloud? |
| How can product leaders differentiate their offering amid all the hype around AI? |
| What are the critical ingredients to implement natural language understanding for customer experience use cases? |
