By Michael Maloof, Head of Marketing
When I began my career in the third-party data industry in 2017, deriving signals from credit card data involved hours looking for missing transactions, aggregating business units, and scouring news for surprises that could undermine your forecast–and that was only on a single credit card dataset.
Today Earnest Analytics’ multiple credit and debit card, pricing, and web datasets create more signals than we ever could have imagined just a few years ago. This multitude of data can help investors create a fuller data mosaic and add confidence. But it is also more difficult than ever to distill a single investing signal from the noise. That is why Earnest is releasing earnings predictions for hundreds of publicly traded US companies through its new forecasting solution, Reported Metric Predictions by Earnest AI.
Earnest AI is a tool for investors to distill high confidence investing signals from names not previously covered by our team of analysts. Earnest AI also helps our analyst team create more accurate predictions for over 500 public tickers, so they can dive deeper into covering the businesses more holistically.
The Earnest AI algorithm uses cutting-edge machine learning to predict quarterly revenue metrics using various data inputs including Earnest’s Vela and Orion datasets, and publicly available sources of truth. Earnest users with access to Earnest’s proprietary Dash platform and underlying Snowflake, BigQuery, and S3 tables can quickly get a single signal for names that had previously not been covered by analysts, and in turn, increase their investing confidence.
Hear more about how AI is revolutionizing investing in my interview with the AlphaSense team, or reach out to learn more.
