Use Case: Alternative Data for Investment Management
With much of the industry moving to widely adopt alternative data, it is paramount for investment firms to incorporate this strategy to avoid being left behind. To effectively incorporate alternative data into the investment or portfolio construction process, organizations will need both commitment and access to specialized approaches to analyzing and visualizing data.
Techniques like natural language processing and machine learn- ing allow organizations to better capitalize on alternative data. These technologies enable processing of large, heterogenous, and unstructured sets at an extremely fast rate.
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