Posts tagged gleonhard

Countries adding the most billionaires | SmartPlanet

Today, the bottom half of the global population owns less than 1 percent of total wealth. The richest 10 percent holds 86 percent of the world’s wealth. The top 1 percent—meaning those ultra-high-net-worth individuals with fortunes in excess of $50 million—own 46 percent of all global assets, according to Credit Suisse’s Global Wealth Report.

The web giants pumping us for information | Technology | The Observer

Given that the oil business is one of the biggest industries in the history of the world, for example, the metaphor hints at untold future riches. But it conveniently skates over the fact that oil wealth overwhelmingly benefits either ruling elites in corrupt and/or authoritarian countries, or huge corporations in democratic states.

Mapping the Future with Big Data | WFS

It is, in many ways, a snapshot of the way that statistical data from databases, user data from multiple participants, and social network data from the public will change the nature of rapid decision making in the years ahead. It’s a very big change, and Esri is at the forefront of the way big data and geography will merge in the future.

The Amazon Bundle: Why the Retail Giant Is Like the Cable Company of the Future - The Atlantic

Being the starting point for online purchases is everything: Google’s biggest source of online advertising comes from searches with a shopping intent. Why look anywhere else when only Amazon will get it to you today?

Skinner Marketing: We're the Rats, and Facebook Likes Are the Reward - Atlantic Mobile

Skinner’s critics were prescient. They were right about control but wrong about the controllers. Our Internet handlers, not government, are using operant conditioning to modify our behavior today.

Marketing: Less guff, more puff | The Economist 4*read

Brands want deeper and more profitable relationships with consumers in exchange for the trust they hope to inspire. Marketers are stretching their notions of what brands stand for and smudging the distinction between advertising and entertainment. The lines between marketing and other disciplines within a firm are fading. Brands want to be antidotes to cynicism. But this will not divert marketers from their main task, pungently summed up by an ad exec: “to figure out and fuel consumer desires like they’ve never been fuelled before.”

Big Data's Value Lies in Self-Regulation (good read)

In the future, you won’t understand that products are collecting data about you — it will be invisible.” He cites Zipcar as a company to watch — it has recently improved mobile capabilities for users. He envisions a scenario where a future Zipcar app will only recommend nearby cars that match your preferences, rather than simply a list of vehicles in your zip code.

Daniel Burrus: Big Data Is Already Producing Big Results

Let’s take one of the largest retailers—Walmart. Start by visualizing one five-drawer filing cabinet. Now, think of a room filled with 60 million five-drawer file cabinets. That’s how much data comes from all of the Walmart stores every hour. And as retailers install more sensors to add advanced predictive analytics to real-time sales and customer behavior, that figure of 60 million filing cabinets worth of data every hour is going to increase. For example, retailers are beginning to use mannequins with cameras in their eyes so they can see who’s looking at them and whether they’re male or female, pregnant or not, thin or heavy, etc. And that’s just one little data point.

The Data Made Me Do It - nice MIT piece

There is so much more data out there that you can afford to tailor it to the individual,” says Patrick Wolfe, a statistician who studies social networks at University College, London. “Statistically, strength comes from pooling people together, but then the icing on the cake is when you individualize the findings.”

What Google's Move Against Spotify Could Mean for Music - Businessweek

Of course, the music industry has a long tradition of separating a song’s profit from its creators. Still, wrote Krukowski, “the ways in which musicians are screwed have changed qualitatively, from individualized swindles to systemic ones.”

Google Now, Anticipatory Systems, and the Future of Big Data | MIT

If the last century was marked by the ability to observe the interactions of physical matter—think of technologies like x-ray and radar—this century, he says, is going to be defined by the ability to observe people through the data they share…”
Really not sure I am willing to extend the Faustian bargain that far (adds Gerd)

Big Data Gets Bigger: Now Google Trends Can Predict The Market - Forbes

Yesterday three economists, (Tobias Preis of Warwick Business School in the U.K., Helen Susannah Moat of University College London, and H. Eugene Stanley of Boston University) published an eye-opening paper that said Google Trends data was useful in predicting daily price moves in the Dow Jones industrial average, which consists of 30 stocks.

Gerd adds: yet another reason why the current form of stock markets won’t exist in 5 years;)

The Swiss Miracle? interesting piece on Switzerland (where I live)

At their root, Europe’s economic and political problems result from a crisis of legitimacy. In Europe, the common economic zone and currency were created without an accompanying federal government. And the union itself controls less than two percent of the combined national GDPs of the 27 EU member states and is thus largely inoperative. National governments have retained their legitimacy but are bound to a hapless and unpopular union…”

Gerd adds: some good points here. Sometimes, however, this idyllic stability also means incredible isolation;)

With Big Data, we are creating artificial intelligences that no human can understand (made me think)

Big data will require a new group of people to take on this role. Perhaps they will be called “algorithmists.” They could take two forms—independent entities to monitor firms from outside, and employees or departments to monitor them from within—just as companies have in-house accountants as well as outside auditors who review their finances.

All this talk about big data makes me feel uncomfortable (me too)

The second hurdle is the so-called averaging of data. This produces the phenomenon which you can call “I don’t know you, but I know your type”. It’s what cookies do. The end result is a sort of spurious intimacy, correct up to a point but ultimately wrong in that it fails to capture your real essence or soul - an essence that may never be captured because there is no data for that.