Apple Inc. (NASDAQ:AAPL) is spending around $200 million per year to fight Android as part of patent lawsuits, according to the new book Dogfight: How Apple And Google Went To War And Started a Revolution by Fred Vogelstein. Vogelstein made the estimate based on an attorney that worked on Apple’s patent lawsuit against Android.
Vogelstein has reported that Apple Inc. (NASDAQ:AAPL) has 300 attorneys at four law firms that are working on the Android patent lawsuits almost full-time. Apple Inc. (NASDAQ:AAPL) has around $150 billion in cash and had $9.9 billion in free cash flow last quarter. Apple Inc. (NASDAQ:AAPL) made a patent deal with HTC, which is estimated to hit around $200 million per year. That alone could cover their patent attorney fees.
“Apple thought a nasty, protracted lawsuit might slow Samsung’s and Android’s progress,” stated Vogelstein. However, this has not happened because Android now has an 81% smartphone marketshare and Samsung is the world’s largest smartphone company.
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When it comes to the coming data explosion, the wholly grail resides not in collecting data, not in storing it but in actually using and harnessing it to extract its value. There are two variables that will command data harnessing: algorithms complexity and processing power.
A recent Twitter connection, and not of the least engaging ones, by the name of Teri Conrad aka @TeriConrad, picked my late night muse with a sentence on Twitter such that it necessitates more than 140 characters. The sentence was:
The conversation was initiated around a 1962 write up predicting today’s Big Data phenomenon, and that had recently been released by the CIA.
What I meant by my answer to Teri, was that the insights and sentiment analysis she’s seeking will eventually arrive by way of either being able to better correlate data or by way of being able to processing larger amounts of it.
It is a bit like today’s mobile devices. For several data collection applications, such as maintaining a continuous GPS track and simultaneously checking that data against a locations database, are inadequate for a very simple reason: battery life. We could to a certain extent equate battery life to the Teri’s insights. There are two ways to solve this problem and allow for more sophisticated applications to be developed, thus more sophisticated data to be collected and better insights derived: 1/ optimize the software or 2/ optimize the hardware.
It may sound obvious but despite the cloud, we still live in a physical world and must abide by its laws. The evolution of technology is likely to moving both variables ahead at the same time and it is really together that they will move us closer to, not only collecting data on a frequency (volume) basis that we can only fathom today, but also run that data through (process) more and more complex correlative algorithms that today would make the fastest processors come to an instant crawl.
None other than Qualcomm is already taking a jump start in this race with its latest processor christened “Snapdragon“. Not just for the love of speed but because Qualcomm has a platform, SDK for the geeks out there, called Gimball. Check out the video!
Future! Here we come! And Teri, thanks for the stimulating convo.
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