Bloomberg

Bloomberg in the Data Science Industry

Bloomberg connects influential decision makers to a dynamic network of information, people and ideas. Our strength - quickly and accurately delivering data, news and analytics through innovative technology - is at the core of everything we do. With over 15,000 employees in 192 locations, we deliver business and financial information, news and insight around the world. 

Machine Learning in Finance 2017

Friday, April 21, 2017 - 8:30am to 5:00pm
420 West 118th Street, International Affairs Building (IAB), Room 417, Altschul Auditorium
Columbia University
New York, NY 10027
United States

The Data Science Institute (DSI) at Columbia University and Bloomberg LP are pleased to announce a workshop on "Machine Learning in Finance". The workshop will be held at Columbia University under the auspices of the Financial and Business Analytics Center, one of the constituent centers in the DSI, and the Center for Financial Engineering. More Information and Tickets Here.

Machine Learning in Finance 2016

Friday, April 1, 2016 - 9:00am to 5:00pm
420 West 118th Street, International Affairs Building (IAB), Room 417, Altschul Auditorium
Columbia University
New York, NY 10027
United States

Speakers:

Sid Dalal - Chief Data Scientist at AIG
Mark Drezde - Research Scientist and Assistant Research Professor at Johns Hopkins University and Bloomberg LP
Kay Giesecke - Associate Professor of Management Science and Engineering at Stanford University
Paul Glasserman - Jack R. Anderson Professor of Business at Columbia Business School
Marcos Lopez de Prado - Senior Managing Director at Guggenheim Partners
Paul Ma - Associate Professor, Carlson School of Management, University of Minnesota

Machine Learning in Finance

Friday, March 6, 2015 - 9:00am to 5:00pm
Columbia University
417 International Affairs Building
New York, NY 10027
United States

The Data Science Institute (DSI) at Columbia University and Bloomberg LP are pleased to announce a workshop on “Machine Learning in Finance”. This workshop will bring together preeminent speakers in the fields of machine learning and finance to offer insights for practitioners and academics. Topics will include the use of options data to detect insider trading and the use of Google search data to detect early warnings of financial crises.

Institute-Industry Innovation Seminar - Named Entity Disambiguation and Other Semantic Technologies at Bloomberg

Wednesday, April 15, 2015 - 5:30pm to 6:30pm
Davis Auditorium, Room 412, Shapiro CEPSR
500 West 120th Street
New York, NY 10027
United States

Stefano Pacifico (2008 COMS)
Bloomberg Senior Research Scientist, Knowledge Engineering

The Knowledge Engineering team at Bloomberg develops intelligent technologies focused on language and knowledge. This presentation will focus on a specific task at the intersection of the two, called Named Entity Disambiguation and how it is used at Bloomberg. Other knowledge-based technologies in use at Bloomberg will also be discussed.

For a copy of the presentation please click here.

Institute-Industry Innovation Seminar - James Zhang, Bloomberg

Tuesday, October 7, 2014 - 6:00pm to 7:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
500 West 120th Street
New York, NY 10025
United States

Dr. Zhang will speak on the advanced research arm of Bloomberg Labs, using NLP and Machine Learning to add value to the huge streams of real-time data being generated by the global financial markets. This talk concentrates on the tools that Labs develops for analyzing and making predictions from millions of news stories and social media messages each day.

Institute-Industry Innovation Seminar - What is 'Open Source' and Why Should You Care?

Tuesday, September 16, 2014 - 6:00pm to 7:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
500 West 120th Street
New York, NY 10027
United States

Speaker: 
Kevin Fleming, Member of the CTO Office of Bloomberg

Abstract: Kevin will provide a quick history of how the open source movement began, what it has meant for software development, and more importantly, what it has meant for other areas of knowledge gathering and development. He will also talk about how students can find ways to get involved in the global open source effort, and how such involvement can provide benefits when looking for employment in technology disciplines.

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