Apple's old motto was "Think Different" - and while it's now retired, and the ethos may not be as apparent in the business's products as it once was, it is true for his or her strategy to Big Data.
In certain ways, despite being the most profitable technology company on the planet, Apple found itself having to play catch-up with Big Data.
While Apple employed teams of highly paid experts in design and aesthetics to produce systems that they believed people would desire to work with, competitors like Google examined user information to see how people really were using them.
This gave those opponents an advantage using the regular programs that made smart phones so popular - navigation, maps, voice recognition along with other aspects of computing that people would like to do on the move.
But while they might happen to be slow off the starting block, they've now entered the race using a stride that was strong. Their devices have been place by their powerful presence in the cellular marketplace in the control of millions and they've been fantastic to support development of apps that are based on sharing and observation of user information. A remarkable example is their recently announced partnership with IBM to facilitate the development of health-associated cellular apps.
It also developed in partnership with IBM has also provided a variety of applications targeted at other industries, including air travel, banking and insurance and aimed at bringing analytical capabilities in those fields to users of its own mobile devices.
The launch of the Apple Watch could potentially hasten this process in a spectacular way - it seems to be the apparatus which eventually brings wearables to the mainstream if, as many commentators are saying is possible. Designed to be worn and also to gather a wider variety of data thanks to detectors that are additional, even more private data is available for analysis.
Apple has often been close concerning the processes behind its greatest strength - product design. Nevertheless it really is known that Big Data additionally plays a part here. Data is accumulated about how, when and where its products - Smart phones, tablets, computers and now watches - are used, to determine what new attributes should be added, or how the way they can be operated can be tweaked to offer the most comfortable and legitimate user experience.
The Siri voice recognition characteristics of iDevices have proved popular with users too, which can also be powered by Big Data. Voice data captured by the machine is uploaded to its cloud analytics platforms, which compare them alongside numerous other user-input orders to help it become better at recognizing speech patterns (machine learning) and more correctly match users to the info they may be seeking. Apple keeps this data for just two years - disassociated from your actual identity and put using a unique indicator that is anonymous, as a concession to ensuring privacy.
Like its largest competitors, Apple also offers cloud-based storage, computing and productivity options, for both company and consumer use. Last month it had been reported that it had purchased FoundationDB, a popular proprietary database design widely used for Big Data applications. It is believed this may be used to bring raised analytic art across its suite of online services such as iCloud, Apple Productivity Works (formerly iWork) and its coming streaming music service.
Aiming to capture a share of the market controlled by Spotify, Pandora and Google Music, this service will probably be built on the technology obtained by their purchase last year of Beats Music. Beats developed algorithms designed to match users with music they're more likely to appreciate listening to, in an identical way to recommendation engines used by Amazon and Netflix. Sales through Apple's iTunes service have declined as the popularity of streaming services has usurped downloading as the favorite method of getting music online. The new service, expected in June, is Apple's attempt to get a cut of the activity.
Apple may have now been slower than many of its competitors in its uptake of Big Data and analytics, but it's clearly seen that if it needs to stay on top of the pack, it has to play a large role. It appears not unlikely that it's going to attempt to put it to use to move away from relying on hugely expensive, episodic product releases to drive its growth as a small business, and towards the more organic, constantly-regenerating model of increase favoured by its rivals in the program and services markets. If Apple can meld its hallmark superiority in design and user-friendliness with innovative uses of Big Data analytics, it might continue to surprise us with products and services which become culturally ingrained in everyday life, just like the iMac, iPod and iPhone - ensuring it remains the world's most valuable brand for a while to come.
Source:-> Big Data Science Training
In certain ways, despite being the most profitable technology company on the planet, Apple found itself having to play catch-up with Big Data.
While Apple employed teams of highly paid experts in design and aesthetics to produce systems that they believed people would desire to work with, competitors like Google examined user information to see how people really were using them.
This gave those opponents an advantage using the regular programs that made smart phones so popular - navigation, maps, voice recognition along with other aspects of computing that people would like to do on the move.
But while they might happen to be slow off the starting block, they've now entered the race using a stride that was strong. Their devices have been place by their powerful presence in the cellular marketplace in the control of millions and they've been fantastic to support development of apps that are based on sharing and observation of user information. A remarkable example is their recently announced partnership with IBM to facilitate the development of health-associated cellular apps.
It also developed in partnership with IBM has also provided a variety of applications targeted at other industries, including air travel, banking and insurance and aimed at bringing analytical capabilities in those fields to users of its own mobile devices.
The launch of the Apple Watch could potentially hasten this process in a spectacular way - it seems to be the apparatus which eventually brings wearables to the mainstream if, as many commentators are saying is possible. Designed to be worn and also to gather a wider variety of data thanks to detectors that are additional, even more private data is available for analysis.
Apple has often been close concerning the processes behind its greatest strength - product design. Nevertheless it really is known that Big Data additionally plays a part here. Data is accumulated about how, when and where its products - Smart phones, tablets, computers and now watches - are used, to determine what new attributes should be added, or how the way they can be operated can be tweaked to offer the most comfortable and legitimate user experience.
The Siri voice recognition characteristics of iDevices have proved popular with users too, which can also be powered by Big Data. Voice data captured by the machine is uploaded to its cloud analytics platforms, which compare them alongside numerous other user-input orders to help it become better at recognizing speech patterns (machine learning) and more correctly match users to the info they may be seeking. Apple keeps this data for just two years - disassociated from your actual identity and put using a unique indicator that is anonymous, as a concession to ensuring privacy.
Like its largest competitors, Apple also offers cloud-based storage, computing and productivity options, for both company and consumer use. Last month it had been reported that it had purchased FoundationDB, a popular proprietary database design widely used for Big Data applications. It is believed this may be used to bring raised analytic art across its suite of online services such as iCloud, Apple Productivity Works (formerly iWork) and its coming streaming music service.
Aiming to capture a share of the market controlled by Spotify, Pandora and Google Music, this service will probably be built on the technology obtained by their purchase last year of Beats Music. Beats developed algorithms designed to match users with music they're more likely to appreciate listening to, in an identical way to recommendation engines used by Amazon and Netflix. Sales through Apple's iTunes service have declined as the popularity of streaming services has usurped downloading as the favorite method of getting music online. The new service, expected in June, is Apple's attempt to get a cut of the activity.
Apple may have now been slower than many of its competitors in its uptake of Big Data and analytics, but it's clearly seen that if it needs to stay on top of the pack, it has to play a large role. It appears not unlikely that it's going to attempt to put it to use to move away from relying on hugely expensive, episodic product releases to drive its growth as a small business, and towards the more organic, constantly-regenerating model of increase favoured by its rivals in the program and services markets. If Apple can meld its hallmark superiority in design and user-friendliness with innovative uses of Big Data analytics, it might continue to surprise us with products and services which become culturally ingrained in everyday life, just like the iMac, iPod and iPhone - ensuring it remains the world's most valuable brand for a while to come.
Source:-> Big Data Science Training