How to turn social listening data into an investor-ready product

​Spoken media is an underexploited signal layer. Podcasts, broadcasts, and online video capture executive sentiment, analyst framing, and emerging narratives before they surface in structured data. This session walks through how that content becomes a systematic, investment-grade dataset, from audio ingestion to hedge fund integration.

What you will learn

• ​Why spoken media represents a genuinely new data category, and where it sits relative to existing alternative datasets already crowded with equity signal.

• ​How transcription, structuring, and ticker mapping are built to meet point-in-time integrity and systematic evaluation requirements.

• ​What it takes to move from a raw dataset to a research asset that survives due diligence, backtesting, and pilot review at a fund.

• ​Early evidence of signal: how spoken data surfaces shifts in sentiment and narrative ahead of conventional sources.

• ​How to take new alternative datasets to market.

​Speakers

• ​Jordan Pasternak, AltHub

• ​Jakob Sjölander, All Ears

• ​Dan Averbukh, validityBase

​This session is designed for quantitative analysts, data acquisition teams, and investment professionals evaluating alternative datasets or building data sets for the alternative data space. Registration is free.