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Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Still keeping your hybrid power systems indoors?  It’s time for change.

Still keeping your hybrid power systems indoors? It’s time for change.

Mobile telecommunications network equipment is expected to work without...

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

Application bottlenecks can lead an otherwise functional computer or...

How data could save cities from outgrowing themselves

June 26, 2012 No Comments

According to physicist Geoffrey West, the world’s cities have what one might call a growing problem. As they grow bigger, their problems grow worse at a super-linear pace, which means it takes an ever-faster pace of innovation to keep things in check. We can either figure out a way to innovate faster, watch our cities crash and burn, or — perhaps worst of all for capitalists — figure out a way to live without constant economic growth. West says the scientist in him doesn’t see us being able to innovate fast enough, but I think big data might be the key to making that happen.

The problem is cities themselves

I heard West espouse his theory at The Economist‘s Ideas Economy: Information event in early June, but you can read about it in this in-depth interview he did with Edge last year. Here’s a very simple explanation for a very complex theory that involved analyzing lots and lots of data.

Read Full Article on Gigaom.com

DATA and ANALYTICS , SOCIAL BUSINESS

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