Name: Enigma and the Big Data Picture
Start: 2017-08-03T18:30:00-04:00
End: 2017-08-03T21:30:00-04:00
Location: Enigma

Event space and snacks sponsored by Enigma

Agenda:

6:30pm – 7:00pm Mingling and snacks

7:00pm – 7:20pm How to Use Enigma Public by Eve Ahean

7:20pm – 8:00pm Why Use Enigma Public? Digging into Enigma labs by Maureen Teyssier

8:00pm – 8:30pm Networking

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Careers at Enigma

At Enigma we provide the content, tools, and expertise to empower organizations looking to make sense of the world through data. It’s an ambitious project, so we’re recruiting aggressively to find not only the smartest people in the world, but also those who are passionate about our mission.

How to Use Enigma Public

Public data reflects more of our everyday lives than most of us realize. It’s everywhere, from a plane taking off at an airport to a barrel of crude oil flowing through a pipeline to a new drug being approved. These things exist in specific and separate public datasets, but together, they can provide a vast and powerful view of what’s happening in the world.

We believe that society will only be able to tackle tough challenges if people can freely access and analyze public data. That’s why we’re committed to building tools and platforms that enable people to work together to hold the public and private sector accountable, challenge inequality, and promote a robust civil society.

Why Use Enigma Public? Digging into Enigma labs

Data and passion propel our public discovery “Labs” projects. They are the culmination of cross-team collaborations that bring together engineering, data science, and creative thinkers from across the organization.

The primary mission for Labs is to build open data tools that serve a public good. Each project sheds light on critical topics of the day and enables and informs civic action. Labs reflect our belief that when people have access to explore data in aggregate, they experience the world in profound ways.

We will dig into the guts of a few of these Labs projects in this talk.

Reshama Shaikh

Sinziana E.

Laurence de Torrente

NYC Women in Machine Learning & Data Science

Technology

Science

Women in Technology

Professional Women

Computer Programming

Machine Learning

Predictive Analytics

Data Mining

Data Science

Big Data

Python

WiMLDS