Interesting – seems the upgrade cycle for tablets is similar to computers or laptops, not iPhones. That’s the conclusion I had after this article from Wired. “Apple sold more than 70 million iPads last year. People love them. But they might love them a little too much for Apple’s taste, if new predictions of shrinking growth in the tablet market turn out to be true. Tablets are so good, it seems, that people are keeping the ones they have and not buying as many new ones.”
Evidently people tend to complain about the same things via Twitter if they are from the same city. ”New Yorkers are always complaining about the weather, while San Franciscans tend to moan about the city’s perpetually poor MUNI bus service. That’s not just a stereotype — it turns out there’s hard, Twitter-based evidence for it.”
A walk through the design process. The graphic shown makes it easy to understand. ”Determining a website’s mobile strategy isn’t rocket science, but it does take careful research and planning.”
This is an annual list of MIT Tech Review Smartest Companies. Not the ones we see frequently, but companies that have the potential for changing lives in big way. ”We didn’t count patents or PhDs; instead, we asked whether a company had made strides in the past year that will define its field. The biggest of these strides happened at Illumina, which is driving down the price of DNA sequencing to levels that will change the practice of medicine. We also found dramatic developments on the Web, in batteries, and even in agricultural technologies.
Familiar names such as Apple and Facebook aren’t on this list because reputation doesn’t matter. We’re highlighting where important innovations are happening right now.”
Sometimes we can see what the future will look like on a bigger scale when we see what big companies are doing. This story of how UPS utilizes dynamic data to calculate best delivery routes is an example. ”Take UPS’s On-Road Integrated Optimization and Navigation, or ORION, as an example. The brainchild of Jack Levis, UPS’s director of process management (he worked on it for nearly a decade before the first test implementation in 2008), it uses a variety of data streams — map data, customer information, business protocols, and work rules — to calculate the most streamlined and efficient delivery route … better than any mere mortal ever could.
The system uses so many algorithms — nearly 80 pages of math formulas — that Levis describes it as “something Einstein would have on his blackboard.””
Incredible – Elizabeth Holmes dropped out of Stanford and literally re-invented phlebotomy. ”Instead of vials of blood—one for every test needed—Theranos requires only a pinprick and a drop of blood. With that they can perform hundreds of tests, from standard cholesterol checks to sophisticated genetic analyses. The results are faster, more accurate, and far cheaper than conventional methods. The implications are mind-blowing.”
A recent study from the Pew Foundation categorized Twitter conversations, putting different types of discussion into silos. I think some of us fall into different categories at different times. ”Researchers concluded that there are roughly six different types of conversational archetypes that take place on Twitter. In other words, most conversations take the form of one of these six general structures: Polarized Crowd, Tight Crowd, Brand Clusters, Community Clusters, Broadcast Network, Support Network.” From Mashable.