An excellent graph from a Pew Internet Research study (courtesy of Flowtown), illustrating the rising importance of mobile apps. My guess is that the percentage of paid apps downloads will only increase until this becomes the main revenue stream of cloud platforms.
Tag: cloud computing
All things considered, this Julian Bleecker’s Why Things Matter is probably the closest we have to a Manifesto for the internet of things. Bruce Sterling’s Shaping Things is also in that category, but it’s a longer text and it lacks the theoretical punch. Besides, any theoretical piece on networked objects has to first deal with the modern separation of the world into the nature/culture dichotomy, and Bleecker does just that with his use of Bruno Latour’s We Have Never Been Modern.
Five billionth device about to plug into Internet – Network World on the explosion of permanently connected mobile devices. According to the author, today there are around 1 billion computers (PC’s, laptops) with regular net connectivity. The remainder of that 5 billion from the title is comprised of mobile devices and all sorts of peripherals such as cameras, TV’s, picture frames, etc. The key development is that the number of networked objects is growing at such an astonishing rate, that fixed-place connectivity (the venerable personal computer in other words) is soon to lose its raison d’etre. Accordingly, the most important developments seem to be in the area of machine-to-machine connectivity.
The next billion geeks: How the mobile internet will transform the BRICI countries – The Economist on the Brazil, Russia, India, China and Indonesia mobile revolution. According to the article, there are 610 million regular internet users and 1.8 billion mobile-phone users in the BRICI market as a whole. Interestingly, and perhaps predictably, due to very poor to non-existent copper/fibre infrastructure in places like India and Indonesia mobiles have leapfrogged the PC as the main internet access interface in these countries. Only 81 million Indians have regular net access through fixed lines, but there are 507 million mobile phone users paying as little as $o.oo6 per minute, and more and more of these mobile users are also starting to surf the net through their phones. These numbers are incredible because they illustrate how a deregulated market based around a new technology can rapidly develop and leapfrog an established technology. This is also interesting in the context of Australia’s national broadband network plans which will eventually deliver a tragically outdated technical solution to a problem which can be solved rapidly as India’s example demonstrates.
How Google is Looking to Cut Apple’s Margin and How the Sell Side of Wall Street Will Enable This Without Sheeple Investor’s Having a Clue – Boombust Blog analyzing the cloud strategies of Google, Apple and Microsoft. Some very interesting analytics of earnings numbers and market share, but above all a clear spelling of the probable long-term strategy of Google with the Android phones/tablets. Google seems to have taken Apple entirely by surprise with its strategy to not only give away Android for free but to make it entirely open-source which in turn makes the platform an instant favorite with every real tech geek out there. This of course means that Google doesn’t have Apple’s fat margins from sales, but on the other hand it allows Google to not only expand rapidly (they have already achieved larger market share then Apple – an astonishing achievement), but to also undercut the future margins of the iPhone. Significantly, Apple has to compete on the software front with Google and its legion of geek volunteers, while simultaneously competing with all the hardware companies out there – HTC, Samsung, Motorolla to name just a few. On both of these fronts Apple is terribly outplayed in terms of innovation cycles – i.e. how fast can it research, release, update new products. Because of its cultist philosophy and total-control business model Apple has been maneuvered by Google into reacting in either of two ways:  cut prices, which will result in lesser margins and less resources for future development, or  break down the cult and open its metaphorical walled garden, which will go against the very core of what Apple and Steve Jobs stand for. Either way leads to doom, and Google has achieved that by completely embracing the open source movement. How is that for ‘Don’t be Evil!’?
As I discussed here, and here, Google seems to seriously plan for and work towards a prime position in cloud computing (web 3.0?). A couple of interesting links relate to that. First comes the now infamous interview Eric Schmidt, Google’s CEO, gave at the WSJ. In that interview he made a number of comments indicating where Google are looking at the moment, but for some reason all it was remembered for is his quip that because of privacy issues with social networks in the future kids may end up having to change their names when they reach adulthood. Ok, this is odd, and it came out of nowhere, but surely there are more interesting bits in what he had to say. Much more interesting for example is his hint that Google are seriously working on developing semantic algorithms:
This statement has to be read in the context of Google’s move to the cloud. In that paradigm the semantic depth of your search query will be provided by your entire cloud footprint. This is quite literally an Artificial Intelligence in full operational mode. As William Gibson writes in a recent article in the New York Times,
“We never imagined that artificial intelligence would be like this. We imagined discrete entities. Genies.”
We imagined HAL, and Wintermute, but instead of managing an ultimately controllable anthropomorphic machine we have to deal with a distributed mind that is built of…us. An ambient socio-digital system.
In part 1 I mentioned Google’s focus on low latency sensors and massively redundant cloud data centers. Google is not the only company in the race though, and probably not the most advanced down that road. Ericsson – the world’s largest mobile equipment vendor – is seriously planning to operate 50 billion net-connected devices by 2020. Only a small fraction of these will be what we consider as ‘devices’ – mobile phones, laptops, Kindles. The enormous majority will be everyday objects such as fridges (strategic object due to its central role in food consumption), cars (see the new Audi), clothes, basically everything potentially worth connecting. This implies an explosion in data traffic.
As Stacey Higginbotham writes over at Gigaom:
So even as data revenue and traffic rises, carriers face two key challenges: One, the handset market is saturated; and two, users on smartphones are boosting their consumption of data at a far faster rate than carriers are boosting their data revenue. The answer to these challenges is selling data plans for your car. Your kitchen. And even your electric meter.
In other words, it is in the interest of mobile providers to extend the network to as many devices as possible so that they can start profiting from the long tail. As the competition in mobile connectivity is fierce and at cut-throat margins, the first company to start mass-connecting (and charging) daily objects is going to make a killing. Hence Google’s focus on sensors and data centers.
This presentation by wireless analyst Chetan Sharma outlines the motivation for mobile providers to bring the internet of things as quickly as possible.
Bruce Schneier has posted over at his blog the following draft of a social networking data taxonomy:
- Service data is the data you give to a social networking site in order to use it. Such data might include your legal name, your age, and your credit-card number.
- Disclosed data is what you post on your own pages: blog entries, photographs, messages, comments, and so on.
- Entrusted data is what you post on other people’s pages. It’s basically the same stuff as disclosed data, but the difference is that you don’t have control over the data once you post it — another user does.
- Incidental data is what other people post about you: a paragraph about you that someone else writes, a picture of you that someone else takes and posts. Again, it’s basically the same stuff as disclosed data, but the difference is that you don’t have control over it, and you didn’t create it in the first place.
- Behavioral data is data the site collects about your habits by recording what you do and who you do it with. It might include games you play, topics you write about, news articles you access (and what that says about your political leanings), and so on.
- Derived data is data about you that is derived from all the other data. For example, if 80 percent of your friends self-identify as gay, you’re likely gay yourself.
Why is this important? Because in order to develop ways to control the data we distribute in the cloud we need to first classify precisely the different types of data and their relational position within our digital footprint and the surrounding ecology. Disclosed data is of different value to Behavioral or Derived data, and most people will likely value their individual content such as pictures and posts much more than the aggregated patterns sucked out of their footprint by a social network site’s algorithms. Much to think about here.
Charlie Stross has a great piece on his site commenting Apple’s strategy with the iPad and Steve Jobs’s vicious antipathy towards any cross-platform apps not originating from Apple. Plenty of material to discuss there, but for me the interesting part is  the notion that cloud computing is going to displace the PC in a controlled walled-garden way. By walled-garden I mean a total-control platform like iTunes – or anything else from that nightmarish company for that matter. I suspect that Stross is right, at least when it comes to Apple – their strategy after all is easy to deduce, but I just don’t see how walled-garden platform is going to dominate the cloud-space when you consider the relentless pressure for interoperability applied by a constantly emerging market. One could argue that Microsoft’s success with the PC platform has been solely due to their complete openness to hardware and third-party soft. Google seem to go down a similar path and if anything it is their already developing cloud platform that would probably dominate the early decade of cloud computing. Stross sums it up nicely:
‘Because you won’t have a “computer” in the current sense of the word. You’ll just be surrounded by a swarm of devices that give you access to your data whenever and however you need it.’
Apple’s and their ilk ‘success’ would be to maintain the cult by porting to a cloud platform, but the sheer necessity of total interoperability related to broad market penetration will prevent them from dominating the cloud. Finally, the comparison between Apple and BMW/Mercedes ‘high-end’ cars doesn’t work for me – I see Jobs’s cult as a Saab.