UBS Turns Analysts Into Avatars

Hey, it’s Matt. This Week on AI Street:

💰 AI is making “useless” data valuable

🧬 UBS Clones Analysts for Research Videos

📰 WorldQuant CEO on the impact of AI

DATA

AI Is Creating a Market for Siloed Data

AI is running out of training data—even the whole Internet isn’t enough.

We’re so short on data that a new category has emerged: synthetic data, which, as it sounds, is data made by models to train other models.

But the open web doesn’t hold quite all of the world’s knowledge.

Data behind paywalls, in proprietary research, old databases, and dusty archives is now more valuable.

The co-head of investment banking at Goldman, Kim Posnett, recently wrote about how this data might be monetized in the future, leading to new data marketplaces as she wrote in The new markets for AI data.

There is a lack of sufficient training data that shows humans “showing their work” in the steps to address complex problems. This is where companies with focused, well-organised, or highly logical data sets can become…