How Mattermark uses Machine Learning

What is Machine Learning?

Machine learning is a computer's way of learning from examples

Machine Learning Usage

  • Spam Filtering
  • Search Engines
  • Movie Recommendations
  • Speech Recognition
  • Medical Diagnosis

How does Mattermark use Machine Learning?

  • Industry Tagging
  • News Article subject attribution
  • Similar Companies
  • News Fact Extraction
  • Semantic Search

Industry Tagging

News Attribution

  • Customers want to keep track of news of the companies that the follow
  • Mattermark crawls over a hundred sources of news daily
  • Finding what company (if any) is the subject of a news article is challenging, since it could be one of 500k

News Fact Extraction

  • When you read an article from TechCrunch about a company raising a Series A round, you absorb the knowledge
  • We will do it automatically for 1000s of articles a day

Similar Companies

  • Customers want easy access to comparable companies
  • But 1M companies means there are 1 trillion potential relationships
  • Impossible to do this manually, and difficult even to compare automatically
  • Currently have ~300k companies with similar companies

What will Mattemark use ML for in the near-future?

Emerging Industries

  • Build a model that keeps track of new companies whose descriptions don't seem to fit in our current industry taxonomy
  • When a set of these companies cluster together with a critical mass, we can then have a human look at it and name the industry

Funding Prediction

  • Customers would love to know which companies are going to be raising money in the next 6 months
  • VCs/Investors want to a heads up for hot new deals
  • Biz Dev clients want to know who to start building a relationship with
  • Given all the historical data we have now (going back about a year), we can use that as training data very soon

Graph Search like querying

  • Like Siri, but for business!
  • Users should be able to type the question:
    • "Companies in the Bay Area in the E-Commerce Industry with more than $10M in funding"
  • This will be particularly useful for Mobile clients

Why is this important?

  • Machine Learning allows us to do things that would be near-impossible for humans to do
  • Machine Learning allows us to scalably do things that would take forever for humans to do
  • This gives us a competitive advantage
    • Many of our competitors use data analysts instead
    • We can do more with fewer people

Who's doing ML at Mattermark?

We need more people! Refer anyone that you know that does Data Science/ML

Questions?

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