Winning World Wide | The IBM Research & GBS Data Visualization Prototype

What does a year of business wins — thousands of client projects from across every industry and around the world — look like for IBM’s consulting organization?

Based on actual data from GBS Sales Operations over the past 12 months, this big data visualization prototype by IBM Research and GBS Communications brings the velocity, volume and variety of all this real-world work to life, in 3D geography and a global mapping.mode.

IBM research stakes its future on cognitive computing | ZDNet
IBM Senior Vice President John E. Kelly / Photo: Audrey Quinn
YORKTOWN HEIGHTS, NY – IBM began its colloquium on cognitive computing today with a jewel in the company’s crown. Senior Vice President John E. Kelly took the stage following a video from January 14th, 2011 – the day when IBM’s Watson machine handedly beat Jeopardy champs Ken Jennings and Ken Rutter.
“I remember saying to the audience at that time,” recalled Kelly, “I don’t know if we’re going to win today. But it’s only a matter of when not if a system like Watson is going to surpass human beings at this task. People asked, ‘When did you realize how important this was?’ I think I realized in the year coming up to this that this was really special. Something was really changing in the way that computer systems interacted with people – something very big beyond just a game show is occurring here.”
So what is going on here? The world of data is now exploding, Kelly said, and machines like Watson have arose to provide us with better ways of harnessing this information.
“We are literally creating a digital universe,” he said. “And the way we have to process that is different than we’ve ever experienced before. What we were creating was a system that would be able to deal with portions of this tsunami of data coming at us. If we try to use first generation computing against this wave, it can’t be done. So we need a whole different set of systems, extracting information from noisy data sources in order to come up with rational answers.”
Kelly broke down the history of computing into three eras. First, there was the the tabulating era, with early calculators and tabulating machines made of mechanical systems and later, vacuum tubes. “In the first era of computing we basically fed data in on punch cards,” he said. “There was really no extraction of the data itself, the data was just going along for the ride.”
Next came the programmable era of computing, which ranged in form from vacuum tubes to microprocessors. “It was about taking processes and putting them into the machine,” Kelly explained. “It’s completely controlled by the programming we inflict on the system.”
And now, Kelly said, we are entering the era of cognitive computing, where computers can help us to unlock the insights that this new wealth of data holds. “If we don’t make this transition,” Kelly argued, “the data will be too big for us to have any impact on it. I think that this era of computing is going to be about scaling human capability. The separation between human and machine is going to blur in a very fundamental way.”

IBM research stakes its future on cognitive computing | ZDNet

IBM Senior Vice President John E. Kelly / Photo: Audrey Quinn

YORKTOWN HEIGHTS, NY – IBM began its colloquium on cognitive computing today with a jewel in the company’s crown. Senior Vice President John E. Kelly took the stage following a video from January 14th, 2011 – the day when IBM’s Watson machine handedly beat Jeopardy champs Ken Jennings and Ken Rutter.

“I remember saying to the audience at that time,” recalled Kelly, “I don’t know if we’re going to win today. But it’s only a matter of when not if a system like Watson is going to surpass human beings at this task. People asked, ‘When did you realize how important this was?’ I think I realized in the year coming up to this that this was really special. Something was really changing in the way that computer systems interacted with people – something very big beyond just a game show is occurring here.”

So what is going on here? The world of data is now exploding, Kelly said, and machines like Watson have arose to provide us with better ways of harnessing this information.

“We are literally creating a digital universe,” he said. “And the way we have to process that is different than we’ve ever experienced before. What we were creating was a system that would be able to deal with portions of this tsunami of data coming at us. If we try to use first generation computing against this wave, it can’t be done. So we need a whole different set of systems, extracting information from noisy data sources in order to come up with rational answers.”

Kelly broke down the history of computing into three eras. First, there was the the tabulating era, with early calculators and tabulating machines made of mechanical systems and later, vacuum tubes. “In the first era of computing we basically fed data in on punch cards,” he said. “There was really no extraction of the data itself, the data was just going along for the ride.”

Next came the programmable era of computing, which ranged in form from vacuum tubes to microprocessors. “It was about taking processes and putting them into the machine,” Kelly explained. “It’s completely controlled by the programming we inflict on the system.”

And now, Kelly said, we are entering the era of cognitive computing, where computers can help us to unlock the insights that this new wealth of data holds. “If we don’t make this transition,” Kelly argued, “the data will be too big for us to have any impact on it. I think that this era of computing is going to be about scaling human capability. The separation between human and machine is going to blur in a very fundamental way.”

Vending machine offers free samples, provides rich user data to retailers
Free samples are a common way for retailers to promote new products, but supermarkets often use staff to hand them out and don’t collect data about the success those campaigns. New startup Freeosk has now created a vending machine that automatically dispenses samples to loyalty card holders. READ MORE…

Vending machine offers free samples, provides rich user data to retailers

Free samples are a common way for retailers to promote new products, but supermarkets often use staff to hand them out and don’t collect data about the success those campaigns. New startup Freeosk has now created a vending machine that automatically dispenses samples to loyalty card holders. READ MORE…

IBM’s massive bet on Watson
Dr. Mark Kris is among the top lung cancer specialists in the world. As chief of thoracic oncology at Memorial Sloan-Kettering (MSK) Cancer Center in New York City, he has been diagnosing and treating patients for more than 30 years. But even he is overwhelmed by the massive amount of information that goes into figuring out which drugs to give his patients — and the relatively crude tools he has to decipher that data. “This is the standard for treatment today,” he says, passing me a well-worn printout of the 2013 treatment guidelines in his office. We choose a cancer type. A paragraph of instructions says to pair two drugs from a list of 16. “Do the math,” he says. It means more than 100 possible combinations. “How do you figure out which ones are the best?” 

IBM’s massive bet on Watson

Dr. Mark Kris is among the top lung cancer specialists in the world. As chief of thoracic oncology at Memorial Sloan-Kettering (MSK) Cancer Center in New York City, he has been diagnosing and treating patients for more than 30 years. But even he is overwhelmed by the massive amount of information that goes into figuring out which drugs to give his patients — and the relatively crude tools he has to decipher that data. “This is the standard for treatment today,” he says, passing me a well-worn printout of the 2013 treatment guidelines in his office. We choose a cancer type. A paragraph of instructions says to pair two drugs from a list of 16. “Do the math,” he says. It means more than 100 possible combinations. “How do you figure out which ones are the best?” 

smartercities:

Open Data’s Road to Better Transit | Government Technology
Data is everywhere. It now costs less to capture, store and process data than ever before, thanks to better technology and economies of scale. And more than ever, the public expects government to use data to improve its services. Increasingly, government’s problem is not capturing the data, but having sufficient resources to clean and analyze the information in order to address issues, improve performance and make informed decisions.

smartercities:

Open Data’s Road to Better Transit | Government Technology

Data is everywhere. It now costs less to capture, store and process data than ever before, thanks to better technology and economies of scale. And more than ever, the public expects government to use data to improve its services. Increasingly, government’s problem is not capturing the data, but having sufficient resources to clean and analyze the information in order to address issues, improve performance and make informed decisions.

I don’t think there’s a uniform policy or standardization for what should be done with user-level data. We’ve been looking to companies like Google or Facebook to do the right thing and to set the standard but to the extent these are enforced or that other companies have to follow, a lot of this stuff isn’t in place.

Rachel Schutt, Columbia Institute for Data Sciences and Engineering

How the new field of data science is grappling with ethics | SmartPlanet

(via ibmsocialbiz)

(via ibmsocialbiz)

IBM Heat Map for analyzing customer activity. Marketers can gauge the behavior of customers across all digital channels, identify patterns and then adjust the digital experience based on this insight to improve the quality and appeal of the user’s experience. IBM digital experience software combines with IBM customer experience management capabilities so marketing professionals can analyze customer activity on a specific channel, such as a mobile device.

IBM Heat Map for analyzing customer activity. Marketers can gauge the behavior of customers across all digital channels, identify patterns and then adjust the digital experience based on this insight to improve the quality and appeal of the user’s experience. IBM digital experience software combines with IBM customer experience management capabilities so marketing professionals can analyze customer activity on a specific channel, such as a mobile device.

The Surge of Data in Healthcare- GOOD Partnerships and Matt Chase contributed in Figures Of Progress, Technology and Healthcare
We know that data is all around us. Each time you make a web search, turn on your car or even scan your rewards card at the grocery store, data is being collected. But there’s one industry where there is a lot of data being gathered, and most of it isn’t being used.
In the healthcare sector, 80 percent of patient data is unstructured—meaning it’s not being organized in a predefined manner. The Center for Disease Control estimates 42 percent of all physicians have an electronic health record system that meets federal standards, but in the healthcare field especially there are many hand written notes and charts, which can’t be easily processed by traditional computer programs.
Continue reading on good.is

The Surge of Data in Healthcare
GOOD Partnerships and Matt Chase contributed in Figures Of Progress, Technology and Healthcare

We know that data is all around us. Each time you make a web search, turn on your car or even scan your rewards card at the grocery store, data is being collected. But there’s one industry where there is a lot of data being gathered, and most of it isn’t being used.

In the healthcare sector, 80 percent of patient data is unstructured—meaning it’s not being organized in a predefined manner. The Center for Disease Control estimates 42 percent of all physicians have an electronic health record system that meets federal standards, but in the healthcare field especially there are many hand written notes and charts, which can’t be easily processed by traditional computer programs.

Continue reading on good.is

Tiny New Satellite Produces Beautiful Global Vegetation Map - Wired Science
A satellite barely bigger than a washing machine and launched just two months ago has already made this great map of the world’s vegetation. 
The Belgian-built satellite called Proba-V is the latest in the European Space Agency’s PROBA series of small satellites and will take over vegetation monitoring duties from the Spot-4 and Spot-5 satellites, which are at the end of a 15-year mission.
Proba-V will circle the Earth 14 times a day, covering the entire globe every two days with its 100-meter resolution camera. Every 10 days, a new 200,000 megapixel image of the world’s vegetation will be produced.

Tiny New Satellite Produces Beautiful Global Vegetation Map - Wired Science

A satellite barely bigger than a washing machine and launched just two months ago has already made this great map of the world’s vegetation. 

The Belgian-built satellite called Proba-V is the latest in the European Space Agency’s PROBA series of small satellites and will take over vegetation monitoring duties from the Spot-4 and Spot-5 satellites, which are at the end of a 15-year mission.

Proba-V will circle the Earth 14 times a day, covering the entire globe every two days with its 100-meter resolution camera. Every 10 days, a new 200,000 megapixel image of the world’s vegetation will be produced.

MIT tool connects the dots of your life through Gmail metadata



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How much does the metadata gathered in your inbox reveal about you? Quite a lot, judging by what researchers at the MIT Media Lab have managed to accomplish with Immersion. They’ve built a web app that — once you grant it permission to do so — digs through your email history to piece together a “people-centric view of your email life.” What does Immersion look at, exactly? Only the senders, recipients (including those CC’d), and timestamps within your email archives. It steers clear of subject lines and the actual bodies of your messages. Still, the end result is fairly impressive depending on how much Immersion has to work with. What first appears to be an arbitrary list of people you’ve contacted is actually linked together in logical ways. (Again, this will depend largely on how far back your email trail goes.)
"All of this data is about people. Data basically doesn’t make sense without humans." César Hidalgo, one of the creators behind Immersion, told The Boston Globe. “When you see it all together, it is, in a way, an out-of-body experience.” Your takeaway may not be that emotional, but Immersion succeeds in showing that, even with limited information like metadata, when collected in bulk, you can visualize the relationships contained within. You can try it at the source below, but keep in mind you’ll need to grant MIT access to your Google account for the purpose.

MIT tool connects the dots of your life through Gmail metadata

How much does the metadata gathered in your inbox reveal about you? Quite a lot, judging by what researchers at the MIT Media Lab have managed to accomplish with Immersion. They’ve built a web app that — once you grant it permission to do so — digs through your email history to piece together a “people-centric view of your email life.” What does Immersion look at, exactly? Only the senders, recipients (including those CC’d), and timestamps within your email archives. It steers clear of subject lines and the actual bodies of your messages. Still, the end result is fairly impressive depending on how much Immersion has to work with. What first appears to be an arbitrary list of people you’ve contacted is actually linked together in logical ways. (Again, this will depend largely on how far back your email trail goes.)

"All of this data is about people. Data basically doesn’t make sense without humans." César Hidalgo, one of the creators behind Immersion, told The Boston Globe. “When you see it all together, it is, in a way, an out-of-body experience.” Your takeaway may not be that emotional, but Immersion succeeds in showing that, even with limited information like metadata, when collected in bulk, you can visualize the relationships contained within. You can try it at the source below, but keep in mind you’ll need to grant MIT access to your Google account for the purpose.