Facebook and Synthetic Data

October 13, 2021

What’s Facebook thinking about its data future?

A partial answer may be that the company is doing some contingency planning. When regulators figure out how to trim Facebook’s data hoovering, the company may have less primary data to mine, refine, and leverage.

The solution?

Synthetic data. The jargon means annotated data that computer simulations output. Run the model. Fiddle with the thresholds. Get good enough data.

How does one get a signal about Facebook’s interest in synthetic data?

Facebook, according to Venture Beat, the responsible social media company acquired AI.Reverie.

Was this a straight forward deal? Sure, just via a Facebook entity called Dolores Acquisition Sub, Inc. If this sounds familiar, the social media leader may have taken its name from a motion picture called “Westworld.”

The write up states:

AI.Reverie — which competed with startups like Tonic, Delphix, Mostly AI, Hazy, Gretel.ai, and Cvedia, among others — has a long history of military and defense contracts. In 2019, the company announced a strategic alliance with Booz Allen Hamilton with the introduction of Modzy at Nvidia’s GTC DC conference. Through Modzy — a platform for managing and deploying AI models — AI.Reverie launched a weapons detection model that ostensibly could spot ammunition, explosives, artillery, firearms, missiles, and blades from “multiple perspectives.”

Booz, Allen may be kicking its weaker partners. Perhaps the wizards at the consulting firm should have purchased AI.Reverie. But Facebook aced out the century old other people’s business outfit. (Note: I used to labor in the BAH vineyards, and I feel sorry for the individuals who were not enthusiastic about acquiring AI.Reverie. Where did that bonus go?)

Several observations are warranted:

  1. Synthetic data is the ideal dating partner for Snorkel-type machine learning systems
  2. Some researchers believe that real data is better than synthetic data, but that is a fight like spats between those who love Windows and those who love Mac OSX
  3. The uptake of “good” enough data for smart statistical systems which aim for 60 percent or better “accuracy” appears to be a mini trend.

Worth watching?

Stephen E Arnold, October 13, 2021

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