Here’s How Enigma Technologies Leverages Machine Learning to Sift Through Massive Amounts of Data

October 10, 2019 By Conor Armor

The massive breadth of data that companies and individuals have access to nowadays would have been unthinkable just a few years ago. However, sorting through and contextualizing that seemingly bottomless ocean of data still presents a major challenge — especially for small and medium-sized businesses with limited resources.

Enigma Technologies provides organizations with digestible, actionable, and relevant intelligence. As software engineer Wesley Taylor explains, Enigma connects its own library of data with a company’s internal data, and builds focused windows into that data so that companies can be better equipped to make informed business decisions. Additionally, this well-organized data can empower small and medium businesses to more effectively pursue bank loans.

The sheer scale of the data that Enigma works with could make the process of distilling that data into actionable insights overwhelming. So, Enigma has turned to machine learning tools like Amazon Web Services’ Sagemaker, which enables data scientists and developers to build, train, and deploy machine learning models quickly.

Take a closer look at how Enigma is making big data more accessible for everyone, here.

(This is the latest video in Uncubed Studios’ collaboration with Amazon Web Services, where we talk with the people building the world’s most impactful brands.)


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