According to the McKinsey Global Institute, using data to better predict the healthcare needs of the U.S. population could save between $300 and $450 billion. (via NetAppVoice: Scientists Save Healthcare (But They’re Not From Med School) - Forbes)

According to the McKinsey Global Institute, using data to better predict the healthcare needs of the U.S. population could save between $300 and $450 billion. (via NetAppVoice: Scientists Save Healthcare (But They’re Not From Med School) - Forbes)

(via futuristgerd)

Deep Thunder: Preparing for extreme weather events with modeling technology (by IBMSocialMedia)

IBM’s high resolution weather forecasting and modeling technology - called Deep Thunder - provides a predictive capability to map approaching weather events, and model the anticipated impact. The system applies mathematical algorithms to understand the interaction of the atmosphere with the surface of the earth. Detailed risk assessments are developed using data from soil saturation levels, rates and flow of water run off, the region’s topography, as well as historical rainfall and flood records. Using historical data, sophisticated analytics software and ever more powerful supercomputers, cities can get extremely accurate and detailed weather forecasts for very specific locations — such as a two-block radius — up to 48 hours in advance.

With the predictive information, emergency response teams are able to be deployed close to where problems are likely to occur. This technology can provide longer advance notice of adverse weather conditions, allowing more time for disaster prevention. Rather than monitor a storm, we can stage resources at the right place and time prior to an event to minimize the impact and save lives.

Contextual prediction is hot. I am not just saying that because I am in the prediction, forecasting and analysis business. I am talking, for instance, about the ability that businesses have to predict what we are going to buy, how much we are willing to pay, whether we can pay to begin with, whether we are potentially fraudulent and so on. Business intelligence and analytics software vendors provide tried and tested tools to telecoms operators giving useful contextual intelligence about their (potential) customers in the virtual and connected ecosystem.

Contextual prediction is hot in the physical world as well. Through sensors the Apple iPhone knows it should power off the touch screen if I bring the phone to my ear. It predicts I am making a call. The Samsung Galaxy S3 predicts I am reading an e-book because the front camera sensor says so. Smartly, it keeps the backlight on. Gesture-controlled laptops shut off automatically if I walk out of the room. Through the Doppler effect measured by the built-in microphone and speakers the laptop predicts I will not need it for the time being.

2009 Winter Outlooks for Temperature (left) and Precipitation (right) issued by NOAA’s Climate Prediction Center on October 15, 2009.
Bitter cold temperatures and blizzards of historic proportions prompted the questions: Why were there so many historic snowstorms in the mid-Atlantic region this winter? Are they evidence that global warming isn’t happening? No, the globe is warming. But the real story behind the mid-Atlantic’s winter isn’t about climate change, it’s about climate variability. Climate variability, the term scientists use, explains why record-breaking snowstorms and global warming can coexist. In fact, many of the weather events observed this winter help to confirm our understanding of the climate system, including links between weather and climate. 
ClimateWatch Magazine » Can Record Snowstorms & Global Warming Coexist?

2009 Winter Outlooks for Temperature (left) and Precipitation (right) issued by NOAA’s Climate Prediction Center on October 15, 2009.

Bitter cold temperatures and blizzards of historic proportions prompted the questions: Why were there so many historic snowstorms in the mid-Atlantic region this winter? Are they evidence that global warming isn’t happening? No, the globe is warming. But the real story behind the mid-Atlantic’s winter isn’t about climate change, it’s about climate variability. Climate variability, the term scientists use, explains why record-breaking snowstorms and global warming can coexist. In fact, many of the weather events observed this winter help to confirm our understanding of the climate system, including links between weather and climate. 

ClimateWatch Magazine » Can Record Snowstorms & Global Warming Coexist?

spime:

NASA uses a “SLEUTH” to predict urban land use. The SLEUTH model is a tightly coupled, modified cellular automaton model of urban growth (and other land class change) which has been applied to over 100 cities and regions over the last decade.

spime:

NASA uses a “SLEUTH” to predict urban land use. The SLEUTH model is a tightly coupled, modified cellular automaton model of urban growth (and other land class change) which has been applied to over 100 cities and regions over the last decade.

smartercities:

Mad Science: Micro-Forecasting

http://asmarterplanet.com/ A tour of some of IBM’s innovations to help build smarter cities and reduce the carbon footprint.

Mad Science. humor. smarter city. with John Cohn from Discovery Channel’s “The Colony”

Today’s Customers Expect More
Differentiation drives profit. The problem is, product differentiation has become increasingly difficult these days. The opportunity lies in your retail enterprise. With more efficient processes, your business will work more efficiently and more profitably.
Retail merchandising and supply chain solutions

Today’s Customers Expect More

Differentiation drives profit. The problem is, product differentiation has become increasingly difficult these days. The opportunity lies in your retail enterprise. With more efficient processes, your business will work more efficiently and more profitably.

Retail merchandising and supply chain solutions

Supporting open standards, our ADAPA decision engine successfully bridges the gap between science and engineering. It significantly shortens the time-to-market for predictive models and empowers enterprise decision management. (via Z E M E N T I S)

Supporting open standards, our ADAPA decision engine successfully bridges the gap between science and engineering. It significantly shortens the time-to-market for predictive models and empowers enterprise decision management. (via Z E M E N T I S)