Presentation: Tweet"Big Data: Challenges and Opportunities"
Every day, 2.5 quintillion bytes of data are created. This data comes from digital pictures, videos, posts to social media sites, intelligent sensors, purchase transaction records, cell phone GPS signals to name a few.
This is Big Data.
There is a great interest both in the commercial and in the research communities around Big Data. It has been predicted that “analyzing Big Data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus”, according to research by MGI and McKinsey’s Business Technology Office.
But very few people seem to look at how Big Data can be used for solving social problems. Most of the work in fact is not in this direction.
What can be done in the international research and development communities to make sure that some of the most brilliant ideas do have an impact also for social issues?
In my talk I will focus exactly at this question: is it possible to conduct research, and/or development work for a corporation and/or a research lab, and at the same time make sure that the potential output of our work has also a social impact?
I will take take Big Data as a key example. Big Data is clearly of interest to marketers and enterprises a like who wish to offer their customers better services and better quality products. Ultimately their goal is to sell their products/services.
This is good, but how about digging into Big Data to help people in need? Preventing / predicting natural catastrophes, helping offering services “targeting” to people and structures in social need?
It would be good to 'leverage' the power of the emerging big data tool-box to achieve societal benefits ("digital public goods"). It is of course not a straight identity: big data may be neutral or even negative on that scale, depending on the deployment.
Hope you'll find this presentation interesting, as well as eye-opening.