Find out if our AI-processed precision news was able to determine Amazon's HQ2 location.

The Bitvore platform ingests a massive amount of unstructured data and applies proprietary AI techniques to normalize and organize.

In this whitepaper we go into detail about our approach to sifting through the massive amount of noise and how we identify business signals and associate them with corporate business entities.

• Sifting through all of this data is a huge challenge
• Learn our methodology to predictive analytics
• Learn how we incorporate the business signals that represent significant events into our modeling 

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Our customers access, quantify and incorporate the Bitvore datasets into
predictive models to support their business goals.

We are often asked for examples of how our signal-driven,
precision news data can be predictive when we explain how
our customers use our data.

In this whitepaper we set up a predictive experiment through backtesting around Amazons HQ2 Selection competition:

• We wanted to determine if, at each stage of the competition, we could predict which cities would advance to the next round.
• And determine if we could predict the final location(s) of
  Amazon’s HQ2 before it became public information.

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