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Badgeville has been synonymous with gamification, the idea of incorporating game mechanics to motivate employees and consumers to do specific tasks. But the company says it’s not stopping with gamification; it sees a future in shaping behavior through a combination of game mechanics, private social networks and reputation and rank.

building off its Social Fabric technology that allows any website to build a social network out of its community using a new behavior graph. The behavior graph helps track a user’s interaction within a social context on any site, application or product.

provide corporate clients with a suite of services that can help them apply “behavior management” to their own employees or consumers.

Recently, American Express has been pushing its own internal digital commerce initiatives including the company’s digital wallet, Serve. Serve integrates a variety of payment options into a single account that can be funded from a bank account, debit, credit or charge card. AmEx also announced a number of recent partnerships in the payments space include Foursquare, Facebook and even Zynga for personalized deals. But today, the financial company is reaching beyond its own internal payments projects to launch a $100 million fund to invest in startups and companies in the digital commerce space.

The digital commerce initiative will make investments in a number of areas involving the digital commerce experience, including loyalty and rewards, mobile and online payment management, fee-based services, security and fraud detection and data analysis.

“The payments industry is undergoing a fundamental change as the very nature of commerce is redefined,” he explains. “This fund is designed to encourage innovation in the payments space.”

Luxtera, which makes a optics chips that has characteristics of a standard silicon chip, has developed a hybrid chip for the data center market that can achieve speeds of more than 100 gigabits per second. Those are the same speeds that telecommunications firms are enabling via long-haul cables to handle the massive demand for bandwidth worldwide, but in this case are designed to handle the next wave of big data and networking-intensive applications inside webscale and cloud data centers.

Luxtera was founded in 2001 and builds chips that allow messages to be sent at the speed of light, but instead of using specialty materials that optics chipmakers such as Infinera use, Luxtera uses traditional silicon chips made using the CMOS process. This cuts down on the cost of the chips and makes it possible to use them for high-volume jobs, such as switching in the data center.

Luxtera’s single chip opto-electronic transceiver includes four fully integrated 28Gbps transmit and receive channels powered from a single laser for an aggregate unencoded data rate of up to 112Gbps. The device is targeted for 100Gbps Ethernet, OTN and InfiniBand applications as well as emerging OIF (Optical Internetworking Forum) Short Reach (SR) and Very Short Reach (VSR) electrical interconnect to host systems. … The optical transceivers can be socketed directly onto the customers’ switch or server boards for both backplane and rack mount connectivity.

TeliaSonera, a Scandinavian-based telephone company, has conducted a trial for an optical network that saw a terabit-speed optical transmission based on 500 Gbps super channels.

A super channel is a large unit of optical capacity created by combining multiple optical carriers into a single managed entity — like an optical cloud of sorts.

This is the largest super channel created so far, and it is based on Infinera’s 500 Gbps photonic integrated circuits (PICs).

NLP goes by many names — text analytics, data mining, computational linguistics — but the basic principle remains the same. NLP refers to computer systems that process human language in terms of its meaning.

Apart from common word processor operations that treat text like a mere sequence of symbols, NLP considers the hierarchical structure of language: several words make a phrase, several phrases make a sentence and, ultimately, sentences convey ideas. By analyzing language for its meaning, NLP systems have long filled useful roles, such as correcting grammar, converting speech to text and automatically translating between languages.

NLP can analyze language patterns to understand text. One of the most compelling ways NLP offers valuable intelligence is by tracking sentiment — the tone of a written message (tweet, Facebook update, etc.) — and tag that text as positive, negative or neutral.

Quotes on the importance of strategy with social media marketing from some of the top social media experts and brands online including: Chris Brogan, Peter Kim, Joseph Jaffe, Jason Falls, Katie Payne, Debbie Weil, Jay Baer, Mari Smith, David Meernan Scott, Valeria Maltoni, Scott Monty and about 40 others.

It’s a debate that’s more common than you might think. Strategy or Tactics first when it comes to social media? Many companies approach their participation on the social web tentatively, picking a popular tool like Twitter, Facebook or for the more adventuresome, a blog. The exercise of setting up and populating a profile, friending others and seeing what happens is akin to the proverbial “throw spaghetti against wall to see if it sticks” school of marketing. There’s a time and place for tactics, for strategy and for experimentation. I think it’s perfectly reasonable for a company to test certain channels without a broad corporate wide commitment to being more social. However, that effort should be guided by smart analysis of audience, tools and with the aid of goals and measurement methodology. Without a plan, social media efforts often fail, waste time, money and detract from the brand experience.Read more at www.toprankblog.com

While the two sets are among those available for no charge, Infochimps sells the more in-depth and extensive datasets it’s derived from Twitter, proving there’s a continued marketplace for this sort of information. For $300 you can buy the dataset containing an hour-by-hour breakdown of the occurence of hashtags, URLs, and smileys in the 1.6 billion tweets created between March 2006 and March 2010. For $250 you can purchase a dataset extracted from those same 1.6 billion tweets with all mentions of stock tokens and related keywords.While information from Twitter has been culled to assess which websites we’ll like and which movies will perform well, analysis from Twitter and from the expanding social graph is really just beginning. Like, for example, the ability to track the time and mention of stock names. The new dataset of stock information offered by Infochimps hopes to demonstrate to the financial industry what the music and film industry already know: big data is a powerful prediction tool.See more at www.readwriteweb.com

URL-shortening sites are often criticized as an easy way to snare unsuspecting users into clicking malicious links - but a new report says it's not that common

wrote about their dangers in 3 Ways Twitter Security Falls Short), Zscaler's Julien Sobrier found otherwise.

The experiment only looked for malicious sites such as phishing sites, malware, etc., and did not include spam.

Now we know. People make over 500 billion impressions on each other about products and services every year. And a small group of mass influencers are responsible for 80% of those impressions. This is the beginning of what we call Peer Influence Analysis. Here's how it works. Start by counting every instance in which a person influences another person online about a product or service. (We model this from Forrester's 10,000 person survey, which asks how frequently they post, in what places, how many followers they have, and what products and services they post about.)

In the tradition of much post-Modern theorizing, “augmented reality” offers a new conceptual paradigm, seeking to implode/queer/do category work on the real/virtual dichotomy and make room for a more flexible understanding of social media that allows for recursivity between these two concepts.  A person embedded in augmented reality is a cyborg in the Harawaysian sense.  For this reason, the editors of this blog have proposed – somewhat tongue-in-cheek – that our research is best understood as “cyborgology.”  In augmented reality, the culture is hyper-literally super-imposed on the material.  Our bodies and all other objects in the world become canvases for the digital and its rapid circulation of signs and symbols.  In Bauman’s term, everything becomes a conduit of Liquid (post-)Modernity.  However, the symbolic order expressed through the digital does not emerge out of nothing; it is a reproduction or extension of what has always existed.  The digital and material are always in circulation and neither can be abstracted from the new order of social relations.  That is to say, society is neither online or offline; it is augmented.  Thus, augmented reality and the cyborgs who populate it are now the proper objects of sociological inquiry.

three distinct perspectives perceive the Internet as either virtual reality, mediated reality, or augmented reality.  I argue (in the spirit of Saussure) that these three perspectives are only fully comprehensible defined in relation to one another.

A deep integration of Twitter and iOS 5 was among the many things announced by Apple today but it's not just that you'll be able to post to Twitter from inside official Apple apps like photos and maps. Any 3rd party iOS developer will be able to leverage a number of Twitter Application Programming Interfaces (APIs) to make their apps better and more social. After email, SMS and iOS messaging, Twitter will now become a key social layer over the top of many of the apps on iOS devices.

"There is single sign-on, which allows you to retrieve a user's identity, avatar, and other profile data." That sounds like Facebook Connect, but I'm going to guess that Twitter will not prohibit developers from caching that data for time-shifted, aggregate, offline or other interesting types of analysis. Letting users skip having to create an account with every new app they download and instead click to log-in with their Twitter accounts is going to make many users very happy and encourage every iOS owner to get a Twitter account if they don't have one already. App developers will get more and better populated user accounts, faster.

"There's also a frictionless core signing service, allowing you to make and sign any call to the Twitter API." To be honest, I'm not really sure what this means. Perhaps it means that parts of the Twitter API that require user authentication will be accessible via the same single sign-on feature discussed above.

We’ve already told you about Juniper Research’s bullish forecasts of the augmented reality services. According to latest figures we have from the research company, the market for mobile enterprise applications featuring augmented reality elements is expected to exceed $300 million by 2015. Among the deployments that will help this grow, Juniper points to areas as diverse as corporate utility, surgery and counter-terrorism.

A company called Logica is already working with the UK government on a project that could identify current and future AR capabilities, whilst evaluating them against various security and counter terrorism scenarios.

According to the report author Dr Windsor Holden, “It is highly likely that AR apps which would also incorporate location awareness will soon be developed for security service handhelds – if they are not already in development.”

"There are good passwords and bad passwords, but none of them are totally secure. Researchers at the American University of Beirut, Lebanon, are working on strengthening an approach to password security that's not just about what you type, but how you type it (abstract)." Note that the actual paper appears to be behind some crappy paywall: hopefully the research exists elsewhere on-line.

“You know,” said a good friend of mine last week, “there’s really no such thing as big data.” I sighed a bit inside. In the past few years, cloud computing critics have said similar things: that clouds are nothing new, that they’re just mainframes, that they’re just painting old technologies with a cloud brush to help sales. I’m wary of this sort of techno-Luddism. But this person is sharp, and not usually prone to verbal linkbait, so I dug deeper.

And this was his point about big data: that given how much traditional companies put it to work, it might as well not exist. Companies have countless ways they might use the treasure troves of data they have on us. Yet all of this data lies buried, sitting in silos. It seldom sees the light of day.

Small, agile startups disrupt entire industries because they look at traditional problems with a new perspective. They’re fearless, because they have less to lose. But big, entrenched incumbents should still be able to compete, because they have massive amounts of data about their customers, their products, their employees, and their competitors. They fail because often they just don’t know how to ask the right questions.