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Cloud-Enabled Innovation in Data-Driven Life Sciences

Embrace new business models and technologies like Cloud PaaS, Facebook, and Twitter for real-time collaboration in Data Enabled Life Sciences. Accelerate research through adaptive virtual teams leveraging social networking tools. Revolutionize data-intensive computing with Cloud services and NOSQL databases. Overcome traditional barriers with rapid experiments and agile methodologies.

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Cloud-Enabled Innovation in Data-Driven Life Sciences

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  1. New Modes of Business and Innovation • It appears that commercial and commodity technologies are moving faster than those in research • Research needs to exploit move to light weight clients supported by back end services with associated software such as Cloud PaaS, Dropbox, Facebook, Twitter, Google Hangout .. • We don’t agree on architecture for data-intensive computing • Should it involve clouds, NOSQL, MapReduce … • We should already be doing large scale experiments • We still use email, telecons and real workshops • Research needs to make better use of social networking • We still spend years building proposals and “centers” and then often changing to adapt to many changes • Need a Cloud/Social Networking supported adaptive virtual team addressing major challenge(s) in Data Enabled Life Sciences in “real-time” not yesterday’s time

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