Tag Archives: amazon-big-data-analytics

How HyperScale / Public Cloud is driving Today’s Computing ?

Hyperscale ComputingEnterprise IT now senses a threat to its existence from the Public Cloud especially as more business users have begun to utilize the Public Cloud. Vendors who will truly benefit from this trend and grow are those who enable the technology and IT consumption model transitions, as well as those who usher Cloud and hyper-scale technologies and architectures into the enterprise.

A key element of architectures deployed by the large web-scale players such as Google and Facebook and large Cloud Players such as Amazon is the abstraction of all intelligence and function from commodity hardware into a software layer across all components of the data center stack – server, storage and networking. Since all functions required to manage the architecture are Continue reading How HyperScale / Public Cloud is driving Today’s Computing ?

Amazon Fire Phone – How is it Engineered to be Superior to Samsung / Other Cheap Android Phones

Amazon Fire PhoneAmazon is another Engineering company like Google which I kind of know about “internally” lot more than what is said / talked about in the global media. I had bumped into one of the Princeton P.hDs working @ Amazon while I was @ Microsoft in Seattle. Amazon’s e-commerce then was modeled [They are Dynamic Models which these nerds keep tweaking to get Analytical data to increase sales as much as they can] in such a way that even by the volume of the shipments they could arrive at the Sales Number 🙂 This explains why I call Amazon / Google Products Truly Engineered when compared to the Samsung or Chinese WhiteBox Phones.


In this backdrop, I’d like to touch upon a different perspective on the Amazon Fire Phone rather than the widely discussed physical features & attributes. What is it that Jeff Bezos thought while they decided to venture into the SmartPhone ecosystem ? [Technocrat CEOs are thinking years ahead of the rest of the curve, Bill Gates was a decade ahead when he quit as CEO] Amazon adopted the core of Android and branched it as Fire OS 3.5. In addition to basic Android SmartPhone features the ones Amazon added to distinguish themselves are,

  1. A dynamic perspective screen that adjusts point of view based on users head position which makes for a new user experience. 13 MPS camera including optical image stabilization and wider aperture lens for improved low light pictures
  2. An integrated identification software (similar to Amazon Flow app) that can recognize movies, TV shows, songs, email and phone numbers, as well as 70mn products to quickly load on Amazon for purchase
  3. 12 months of Prime membership free for new and existing customers
  4. Unlimited cloud storage for photos [Means AWS to Get stronger across the Globe]

From the above set of Features; 2, 3 and 4 are heavily focused on existing customers of Amazon and enhancing their experience to stick to the Amazon platform. Amazon continues to offer new content features for Prime members. Amazon Prime has become the focal point of Amazon’s strategy as Prime creates customer lockin and Prime members purchase with more frequency. Beyond doubt, Amazon is slowly building a competitive media ecosystem (content consumption on tablets, TV, and now phones). This ecosystem should fuel Amazon’s media unit sales.

On the Pricing front I expected Amazon Fire Phone to undercut iPhone and Samsung but it is priced at par with the Top End Models thus making a bottom-line on the Hardware as well for Amazon rather than just making it a device for its e-commerce.

Amazon’s Online Content Delivery – Centered Around Customer & Computing

Amazon Kindle Content DeliveryAmazon moving to content delivery and changing the erstwhile business model of the industry signifies the flexibility and scalability of the cloud which enables cloud companies. Amazon has entered the original online content sub-sector with 14 TV pilot shows out of which six fall within the genre of kids shows with the rest being grown up comedies. Amazon is allowing the viewers to be their programming executives and create the content based on their tastes and preferences, making the service’s selection process transparent and interactive. Amazon asks straightforward questions whether a viewer has liked the show and would be willing to watch again or whether they would recommend the show. Viewers can also rate the script, concept of the show and acting quality.

Combining Analytics with Content Delivery Amazon plans to data mine the feedback with data Amazon will amass about how many people watched the show and how many watched the whole episode. It also plans to analyze social-media metrics (likes, sharing) and take inputs from offline focus groups to decide shows which can turn into a 13-episode season. Continue reading Amazon’s Online Content Delivery – Centered Around Customer & Computing