Systematic Active Equity: Bringing Together Man and Machine

Each second, oceans of new data are being generated by the Internet, smartphones, satellites and other innovations. This data is commonly referred to as “Big Data” or “alternative data.” Many asset managers are seeking to harness the power of Big Data by using technologies like natural language processing, image recognition and machine learning to analyze it and find investment insights.

Introducing BlackRock’s Systematic Active Equity Platform

BlackRock has been at the forefront of this evolution. For close to a decade, BlackRock’s Systematic Active (SAE) team has been analyzing Big Data using technologies like machine learning in its quest to constantly improve investment outcomes.

In the past, traditional, quality research could create a sustaining competitive advantage for investors. But today, the market incorporates information so rapidly that constant innovation is required to gain an edge. As the amount of available information grows, so does the challenge.

Extract insights from this unruly growing mass of data.

Source: BlackRock, as of May 2018. For illustrative purposes only. Reference to the name of each company should not be construed as investment advice or investment recommendation of those companies.

Example of how SAE leverages technology

For Illustrative purposes only. Source: Cumulus Media, September 2017.


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