Alt Data on the March with Machine Learning

The explosion of alternative data sources, such as satellite images, sentiment analysis, and geolocation data, is having a profound impact on the field of quantitative investing.

Analyzing torrents of unstructured data requires sophisticated tools and technology, and this leads to opportunities as well as challenges.

Alongside the boom in alternative data, there is increasing demand for data scientists and machine-learning professionals who can work with petabytes of unstructured data sets.  In January, Point72’s Aperio unit advertised for a “machine learning-data scientist” on AlternativeData.org, a public web site that covers the industry.

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