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Traffic signals in Frisco will soon talk with cars as part of a new technology push

Traffic signals in Frisco will soon talk with cars as part of a new technology push

The first feature, called time to green, provides a display on Audi’s instrument panel that counts down the seconds until the red light turns green.

Other functions are being tested. Drivers could get more guidance on starting and stopping. Alternate routes could be calculated based on real-time traffic data. Or vehicle speeds could be suggested to maximize the number of green lights.

Beyond easing some driver frustration, the technology aims to improve traffic flow and create fuel efficiencies.

Source: Traffic signals in Frisco will soon talk with cars as part of a new technology push | Frisco | Dallas News

The 7 Deadly Sins of Social Media

The 7 Deadly Sins of Social Media

#4: Overreact

Business owners and marketers who are using social media for the first time in order to promote their business, or interacting with the general public through social media for the first time, have to quickly adapt to the negative nature that accompanies much of the engagement on social networks. It’s important to not overreact to rudeness or negative comments from people on the social channel. If a business owner loses their cool inside a physical store, it’s only seen by the people who happen to be there at the time. With social media, an overaction can go viral and cause a lot of damage to a brand or a person’s online reputation

http://www.inc.com/peter-roesler/the-7-deadly-sins-of-social-media-marketing.html?utm_source=dlvr.it&utm_medium=twitter

Data analytics must provide knowledge before reducing costs

Data analytics must provide knowledge before reducing costs

Data analytics must provide knowledge before reducing costs | EHRintelligence.com.

The byproduct of that is that we often see a five-fold explosion for every data point that someone has in the organization.  We’ll often talk to CIOs, and they might say that they have a petabyte of information.  But when you drill down a little further, it turns out that in terms of unique information, they might only have about 200 terabytes.  And that bloats up to a petabyte because they copy all that data into a staging area, and then they copy that into data warehouse, and then they create data marts on top of that.  And then, to try to improve the time between creation and consumption, they add a tremendous number of indices, rollups and various other materializations with the data to try to help it run fast enough to be effective.