Abstract: 

Audio is everywhere, but are you able to quickly and efficiently leverage this valued source of information? In this presentation, you’ll hear from Kensho, the S&P Global company powering its AI and machine learning capabilities, on how you can turn difficult-to-use audio into text using Kensho Scribe. Built with sophisticated deep learning models, Kensho Scribe is a leading transcription service for business and financial audio. You’ll learn how Scribe was built and see it live in action ― understanding how it can parse jargon in context and transcribe numbers, currencies, product names (e.g., pharmaceutical drugs).

Additionally, you'll hear detailed use cases highlighting the efficiencies gained with Scribe - expanding earnings call coverage by 1,500 companies, transcribing 10,000+ voicemails per year for sales teams and automating compliance processes to meet regulations. Finally, you’ll gain an understanding of how you can pair Scribe with other natural language processing capabilities to build a pipeline that unlocks insights from your audio.

Bio: 

Keenan Freyberg is a Product Manager at Kensho Technologies where he works with the machine learning team’s Applied R&D group. He works with the team in developing a suite of natural language processing (NLP) capabilities designed to help businesses make decisions with conviction.

Keenan joined Kensho in 2018 as a Client Operations Associate helping sell-side clients best leverage Kensho technology. Prior to Kensho, Keenan worked as a consultant at Capco helping clients design trading systems.

He holds a B.A. in International Affairs with a concentrations in Economics and Russian from George Washington University.