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big data

“Big Data” study discovers earliest sign of Alzheimer’s

Mon, 2016-07-11 10:57

McGill Newsroom

Research underlines importance of computational power in future neurological breakthrough

Scientists at the Montreal Neurological Institute and Hospital have used a powerful tool to better understand the progression of late-onset Alzheimer’s disease (LOAD), identifying its first physiological signs.

Contact Information

Contact: Shawn Hayward
Organization: Montreal Neurological Institute
Email:
Office Phone: 514-398-3376
Source Site: /newsroom

“Big Data” study discovers earliest sign of Alzheimer’s development

Mon, 2016-07-11 10:05

Research underlines importance of computational power in future neurological breakthrough

Scientists at the Montreal Neurological Institute and Hospital have used a powerful tool to better understand the progression of late-onset Alzheimer’s disease (LOAD), identifying its first physiological signs.

Contact Information

Contact: Shawn Hayward
Organization: Montreal Neurological Institute
Email:
Office Phone: 514 398 3376
Source Site: /neuro

Big Data & Data Analytics Panel

Wed, 2016-02-24 14:00 - 15:30
Brown Student Services : 5001, 3600 rue McTavish Montreal Quebec Canada , H3A 0G3

It's a big deal if you haven't heard! The term “Big Data” describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information.

Source Site: /caps

Big Data is useless if you don’t make decisions

Tue, 2015-01-20 16:11

This is Karl Moore of the Desautels Faculty of Management at McGill University with Talking Management for The Globe and Mail. Today I am delighted to speak to Julian Birkinshaw from the London Business School.

Read full tarnscript: The Globe and Mail, January 6, 2014

Source Site: /desautels

Social media data pose pitfalls for studying behaviour

Researchers urged to hone methods for mining social-media data
Thu, 2014-11-27 14:46

A growing number of academic researchers are mining social media data to learn about both online and offline human behaviour. In recent years, studies have claimed the ability to predict everything from summer blockbusters to fluctuations in the stock market.

Contact Information

Contact: Chris Chipello
Organization: Media Relations Office
Email:
Office Phone: 514-398-4201
Source Site: /newsroom

Taking on the “big data” challenge

McGill professor among recipients of internationally-funded Digging into Data Challenge
Wed, 2014-01-15 14:23

Contact Information

Contact: Julie Fortier
Organization: Media Relations Office
Email:
Office Phone: 514-398-6751
Category:
Source Site: /newsroom
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