IBM to start crunching connected car data for Peugeot — GigaOM


IBM is putting its data analytics to work on information collected from Peugeot’s in-car sensors, ostensibly combining it with data from traffic infrastructure and smartphones to create better car apps and more network-aware vehicles.

IBM to start crunching connected car data for Peugeot — GigaOM


IBM is putting its data analytics to work on information collected from Peugeot’s in-car sensors, ostensibly combining it with data from traffic infrastructure and smartphones to create better car apps and more network-aware vehicles.

The Future of Retailing

In response to the rising tide of online shopping, Macy’s is overhauling its flagship New York City store—with the goal of making it the most technologically advanced and compelling shopping destination anywhere. Macy’s and IBM teamed up this year to give a tour to retail industry influencers and reveal some of the insights from IBM’s annual retail consumer survey.

Top 7 Social Trends That Will Emerge In 2014
1. Social business will not be just about collaboration, but also about unlocking the engines of collective knowledge, differentiated expertise and rapid learning.
2. Social Businesses will  tap behavioral data to help drive decision making
3. Social Business will deliver personalized experiences customized to individuals with marketing delivered as a service
4. Social will take on talent management
5. The customer activated social enterprise will drive innovations that really matter
6. Social, mobile, analytics and the cloud will truly converge
7. Brand journalism will begin to gain traction
Via Mark Fidelman in Forbes,  based on interview with IBM’s Scott Huebner

Top 7 Social Trends That Will Emerge In 2014

1. Social business will not be just about collaboration, but also about unlocking the engines of collective knowledge, differentiated expertise and rapid learning.

2. Social Businesses will  tap behavioral data to help drive decision making

3. Social Business will deliver personalized experiences customized to individuals with marketing delivered as a service

4. Social will take on talent management

5. The customer activated social enterprise will drive innovations that really matter

6. Social, mobile, analytics and the cloud will truly converge

7. Brand journalism will begin to gain traction

Via Mark Fidelman in Forbes,  based on interview with IBM’s Scott Huebner

(via ibmsocialbiz)

Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It - Wired Science
Simon DeDeo, a research fellow in applied mathematics and complex systems at the Santa Fe Institute, had a problem. He was collaborating on a new project analyzing 300 years’ worth of data from the archives of London’s Old Bailey, the central criminal court of England and Wales. Granted, there was clean data in the usual straightforward Excel spreadsheet format, including such variables as indictment, verdict, and sentence for each case. But there were also full court transcripts, containing some 10 million words recorded during just under 200,000 trials.
How the hell do you analyze that data?” DeDeo wondered. It wasn’t the size of the data set that was daunting; by big data standards, the size was quite manageable. It was the sheer complexity and lack of formal structure that posed a problem. This “big data” looked nothing like the kinds of traditional data sets the former physicist would have encountered earlier in his career, when the research paradigm involved forming a hypothesis, deciding precisely what one wished to measure, then building an apparatus to make that measurement as accurately as possible.

Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It - Wired Science

Simon DeDeo, a research fellow in applied mathematics and complex systems at the Santa Fe Institute, had a problem. He was collaborating on a new project analyzing 300 years’ worth of data from the archives of London’s Old Bailey, the central criminal court of England and Wales. Granted, there was clean data in the usual straightforward Excel spreadsheet format, including such variables as indictment, verdict, and sentence for each case. But there were also full court transcripts, containing some 10 million words recorded during just under 200,000 trials.

How the hell do you analyze that data?” DeDeo wondered. It wasn’t the size of the data set that was daunting; by big data standards, the size was quite manageable. It was the sheer complexity and lack of formal structure that posed a problem. This “big data” looked nothing like the kinds of traditional data sets the former physicist would have encountered earlier in his career, when the research paradigm involved forming a hypothesis, deciding precisely what one wished to measure, then building an apparatus to make that measurement as accurately as possible.

Incorporating data-mining and analysis tools, Course Signals not only predicts how well students are likely to do in a particular class, but can also detect early warning signals for those who are struggling, enabling an intervention before problems reach a critical point. Results so far are impressive. According to data released by Purdue last month, six-year graduation rates are up 21.48% since the project’s start, while grades for those students who use Signals in two or more classes are improved significantly next to those who don’t.

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…

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)