American City of Future (1925)

October 31, 2010 § Leave a comment

1925 vision of the future of our cities.


American City of Future (1925) #2.


The Convergence of Predictive Analytics and Social Media

October 27, 2010 § Leave a comment

You have undoubtedly encountered information overload in the information age.  Much of the information is in many forms unengaging and irrelevant to you.  The quantity of this information is only increasing and it is becoming decidedly frustrating for users as well as those companies trying to connect with potential customers.  Ten years ago a typical business required 3 touches to connect and engage with a prospect, however, due to the constant barrage of information businesses are finding it increasingly more difficult to engage and connect; today it takes up to 10 touches to connect and this figure is only going to rise as information increases.  People look for ways to avoid the flow of meaningless blabber that populates the web.

With the quantity of irrelevant data exploding online you’ve probably also witnessed the growing accuracy in which ads are becoming more relevent, recommendations more meaningful and e-commerce more intelligent.  This may well be the beginning of the semantic web.  Predictive analytics and data modeling is the new frontier of the web.  The web will become smarter and more intuitive; usability will converge and the information will flow automatically based the user’s web profile.  The end result will be a web experience that is more meaningful and engaging for both user and marketer.  There will never be end to all the clutter that populates the web, however, with technologies developing in the area of the semantic web it will become more meaningful.

Here are only a few of the areas which could benefit immensely from the development of semantic technologies (1):


Many recruiting sites out there on the web, from LinkedIn() to SelectMinds to Monster, promise to be able to match candidates with job requirements in unique and increasingly accurate ways. Predictive analytics is at the core of their business model, as it automates the process of making these matches.

When a recruiter posts a job description, a predictive algorithm runs through candidates and calculates compatibility. The technology is, in many cases, embedded in search applications. The most accurate and efficient of these analytics will deliver the most value and see the greatest adoption over time. Those recruiting and talent acquisition sites that allow businesses to leverage the existing social networks of their current and former employees are the best positioned to monetize their users’ employment data in new ways. Businesses can get value from these existing networks without the time and resource commitment it takes to build their own.

Sentiment Analysis

As sites like Twitter() and Facebook() gain value to the business world, many companies have cropped up to analyze and establish what the sentiment is of the collective online intelligence and also to identify individuals with influence and authority. Companies including Klout, ViralHeat and Radian6() all scan blogs and other social media channels with predictive models to determine if the content surrounding a brand or person is negative, positive or neutral. As this information becomes increasingly valuable to businesses of all sizes, these sentiment analysis companies are expected to grow rapidly.

Market Fluctuation

Social media channels are open to everyone. Day traders, retail investors and analysts are cruising around on Twitter and Facebook. What these types of people say and do online is not insignificant in an era when [Flash Crashes and Fat Fingers] are being closely scrutinized and regulated. New models are cropping up to predict stock fluctuations based on Twitter posts. Similar to sentiment analysis, these companies are able to look at the total number of tweets, as well as positive and negative comments to predict whether a stock price will go up or down. These types of companies will become a hot commodity as investors begin to rely on the wisdom of crowds.

Recommendation Engines

No one likes to be bombarded with irrelevant offers and content while using their favorite social network. But the more active you are online, the more effectively predictive analytics can work to deliver targeted and relevant offers.

Sometimes it feels like Facebook knows you better than you know yourself. RSVPed “Yes” to that big gala? You may see a discount offer for Saks. [Are you a woman between the ages of 18 and 34? A Facebook ad may tell you how you can lose those extra inches around your waist.] These offers are no longer random and are therefore increasingly effective. Leveraging the existing data from your previous activity to predict what will happen in the future is becoming, rightly, more prevalent and valuable to social networks that can sell this promise to businesses and intermediaries.

Location-Based Marketing

Do you walk down the same street at dinner time every day? Wish restaurants on that street would compete in real-time for your business?

As social networks add in more location-aware features like Facebook Places and whole new businesses are built on the promise of geo-location including SCVNGR and ShopKick, predictive analytics deliver insights into where groups and individuals will be and when, not to mention what their interests may be. For businesses, there is big money to be spent on location-based advertising in the coming years. As a result, social networks can run their existing location data through predictive models to provide companies with future insights into where to allocate their marketing and advertising budgets for the biggest returns.

via How Predictive Analytics Can Make Money for Social Networks.(1)

So You Think Your Gym’s 5m-Tall Climbing Wall is Difficult?

October 25, 2010 § Leave a comment

So You Think Your Gym’s 5m-Tall Climbing Wall is Difficult? I’m getting an extreme case of vertigo just by looking at this photo of the 37meter high climbing wall in The Netherlands, which is reported to be the world’s tallest.Dutch man Eric Kieboom shot these photos by strapping a Canon IXUS 850IS to a kite and floating it above the Klimcentrum Bjoeks tower, which caters to experienced climbers as well as beginners. I’m not so sure you should be running before walking, but considering a day pass is only $14 I guess it wouldn’t matter too much if you chickened out only a few meters above the ground. [Bjoeks via Eric Kieboom via DamnCoolPics via OhGizmo]

via So You Think Your Gym’s 5m-Tall Climbing Wall is Difficult?.

30 Places We Want to Work

October 25, 2010 § Leave a comment

This is a great feature on what makes a great employer.  The folks at GOOD compiled a Top 30 that I thought would be worth sharing.  For these companies it’s more than just talk – it’s in their actions.  Some of these companies you’ve probably never heard of; whereas others are among the growing niche companies that are making a name for themselves 



They are where we work. There are some bad apples (those are usually the ones you hear about on the news). But most are pretty quotidian: just the source of our weekly checks. That’s why companies known for their good practices and treatment of their employees are so rare and so commendable.

Since companies and nonprofit organizations are the basis of working, we’ve compiled a list of 30 of the companies that, if we worked there, would have us excited to get out of bed each morning. Some are huge corporations, some are tiny start-ups, but they are all the kind of place that inspires us to make our own company better.

via 30 Places We Want to Work – Business – GOOD#slideshow_51507.

Infographics – GOOD

October 25, 2010 § Leave a comment



The World of Data We’re Creating on the Internet

In the 21 century, almost everything we do is reduced to bits and sent through cables at light speed. But just how much data are we generating?

via Infographics – GOOD.

Marketing in Today’s Consumer Centric Market.

October 21, 2010 § Leave a comment

words became untruth

As more and more companies pull back on spending and scrutinize budgets it’s becoming increasingly clear that a ‘back to basics’ trend is occurring and yet it comes at time in which innovations in technology is progressing at a rapid clip.  With the development of new technologies that have shifted the marketing landscape away from the traditional push strategy to a consumer centric pull strategy; how today’s companies leverage this inherent change and still remain committed to a ‘back to basics’ strategy will determine their success.

‘Back to Basics’ does not necessarily mean abandoning new technologies and channels – it simply means that companies will have to evolve the meaning to include these new properties as a means to reaching out to consumers.  ‘Back to Basics’ is essentially a movement to focus efforts on the consumer experience and to define the experience as something that brings meaning and relevancy for both brand and consumer.

The major shift for companies as well as for agencies will be the need to define the consumer experience and drive satisfaction through the use of tech innovations and newly developed channels.  The consumer experience will dictate the success and failure for brands – consumers have become more connected than ever and word of mouth has developed new meaning for marketers.  Ambassadors are no longer employed by brands but are essentially today’s consumer.

Measuring the Web…

October 14, 2010 § Leave a comment

“The web is the most measurable medium in the history of marketing. Now all that’s left is figuring out how to measure it.”

The McKinsey Quarterly (October 2008)

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