All Posts

[Earley AI Podcast] Episode 29: Maxim Serebryakov

Artificial Voice Intelligence

Guest: Maxim Serebryakov

 

 

About this Episode:


Today’s guest is Maxim Serebryakov, Co-Founder and CEO at Sanas. Max joins Seth Earley and Chris Featherstone and shares what influenced him to start his company. Max also discusses what it was like to study artificial intelligence at Stanford and how it created a broad perspective on how things work. Be sure to listen in on Mike giving his advice on how you can go above and beyond to help anyone!



Takeaways:

  • Max was born in New York then shortly after, he moved to Russia where his family is from. When he came back to coming to the US, the accents around him and being an immigrant were the brewing grounds for the creation of his company, Sanas.
  • Max studied at Stanford and he spent a lot of time doing research into artificial intelligence and studying artificial intelligence. Through these experiences, he ended up building Sanas.
  • Artificial intelligence shows the limitations of modern-day voice conversion research. Max learned that you're not just modulating the pitch and tone, you're changing the underlying phonings that are present within it.
  • Max and his team chose to do their deployments initially with contact centers and enterprises. They saw that their pain point is initially with these deployment verticals because speech is very structured.
  • Max’s company, Sanas, works with some of the largest contact centers and top enterprises in the world. They work with them to better help their customer service interactions since it is a crucial part of these companies.


Quote of the Show:

  • “We ended up building an algorithm that really doesn't exist in the research world. It's very innovative. It works on the edge, works with clients, and it's very efficient.” (11:02)


Links:



Ways to Tune In:



Thanks to our sponsors:

Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

Recent Posts

[Earley AI Podcast] Episode 31: Kirk Marple

It’s All About the Data Guest: Kirk Marple

[Earley AI Podcast] Episode 30: Alex Babin

The Holy Grail of AI Guest: Alex Babin

The Critical Element of Foundational Architecture

Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.