Mass Customization: From "There is a plug-in for that" To "There is an app for that"

In a much anticipated mystic event Apple announced a tablet today called an iPad. Steve Job's hypnotizing presentation convinced people that iPad is a magic. I was not there in person to see Jobs unveiling an iPad and somehow escaped the magic. That gave me time to think about the implications of a trend that an iPad endorses - mass customization. Firefox's success in part can be attributed to its approach to allow the developers to write and publish extensions. There is a Firefox plug-in for pretty much anything. Then came the iPhone and we had an app for pretty much anything. Now we have an iPad and the trend continues.

Mass customization trend is about micro-chunking the software that we run on our devices ranging from cell phones to laptops. The emergent architecture and delivery model have empowered the consumers to buy only the chunks of software that they actually need. The cloud computing and SaaS have further enabled the consumers not to run any software other than a web browser for many daily tasks that they need to accomplish. Micro-chunking and webOS have grave implications on the large shrink-wrapped software packages that occupies the most space on consumers' hard-drive, hogs memory, and provides a little value. I won't go to the extent of calling this gold rush for the app developers but I do agree that the independent developers now have a level playing field to compete with the ISVs.

I certainly welcome this trend. I not only want to be in charge of the devices that I own but I also want to experiment and micro manage the applications that I run on my devices. If I can get a tall non-fat extra hot double shot latte at Starbucks why shouldn't I expect a device that runs the exact software that I need - no less, no more.

Comments

Emergent Cloud Computing Business Models

The last year I wrote quite a few posts on the business models around SaaS and cloud computing including SaaS 2.0 , disruptive early stage cloud computing start-ups , and branding on the cloud . This year people have started asking me – well, we have seen PaaS, IaaS, and SaaS but what do you think are some of the emergent cloud computing business models that are likely to go mainstream in coming years. I spent some time thinking about it and here they are: Computing arbitrage: I have seen quite a few impressive business models around broadband bandwidth arbitrage where companies such as broadband.com buys bandwidth at Costco-style wholesale rate and resells it to the companies to meet their specific needs. PeekFon solved the problem of expensive roaming for the consumers in Eurpoe by buying data bandwidth in bulk and slice-it-and-dice-it to sell it to the customers. They could negotiate with the operators to buy data bandwidth in bulk because they made a conscious decision not to st...

Reveiw: Celluon Epic Laser Keyboard

The Celluon Epic is a Bluetooth laser keyboard. The compact device projects a QWERTY keyboard onto most flat surfaces. (Glass tabletops being the exception) You can connect the Epic to vertically any device that supports Bluetooth keyboards including devices running iOS , Android , Windows Phone, and Blackberry 10. On the back of the device there is a charging port and pairing button. Once you have the Epic paired with your device it acts the same as any other keyboard. For any keyboard the most important consideration is the typing experience that it provides. The virtual keyboard brightness is adjustable and is easy to see in most lighting conditions. Unfortunately the brightness does not automatically adjust based on ambient light. With each keystroke a beeping sound is played which can be turned down. The typing experience on the Epic is mediocre at best. Inadvertently activating the wrong key can make typing frustrating and tiring. Even if you are a touch typist you'll still ...

Rise Of Big Data On Cloud

Growing up as an engineer and as a programmer I was reminded every step along the way that resources—computing as well as memory—are scarce. The programs were designed on these constraints. Then the cloud revolution happened and we told people not to worry about scarce computing. We saw rise of MapReduce, Hadoop, and countless other NoSQL technology. Software was the new hardware. We owe it to all the software development, especially computing frameworks, that allowed developers to leverage the cloud—computational elasticity—without having to understand the complexity underneath it. What has changed in the last two to three years is a) the underlying file systems and computational frameworks have matured b) adoption of Big Data is driving the demand for scale out and responsive I/Os in the cloud. Three years back, I wrote a post, The Future Of The BI In Cloud where I had highlighted two challenges of using cloud as a natural platform for Big Data. The first one was to create a lar...

EnjoyTech

Search This Blog