Because of big data, 100Gig ethernet and virtualization, server payloads are changing and so is their architecture. I have posted in the past a few pointers to this new reality, mainly psuhed by Google’s enormous server appetite (as well as creativity) as well as Facebook Open Compute project. Can Intel compete with ARM licencees around power consumption, cost, and integration (communications, on-board storage, and board management controller) ? AMD is making a big bet that could pay off in the very near term – not sure ARM’s organization will be able to fx their mobile myopia on time though.
[Reproduced from GigaOM] AMD executive: The data center is changing and ARM will be the compute [by Stacey Higginbotham 06.19.13] AMD is betting big on ARM chips in the data center because the demands of client computing have changed the way computing and data centers are built and designed. There has been a complete transformation of the client side of computing, and because of that the infrastructure on the back end is changing. As part of that change, the new chip architecture inside the servers in the data center will use the ARM architecture, said Andrew Feldman, GM and corporate VP at AMD. In his presentation at GigaOM’s Structure conference on Wednesday, Feldman explained that the data center is not only the cloud, it’s providing the value for most of the phones, tablets and myriad devices we carry every day. “The demand for compute has left the client side and moved into the data center,” said Feldman. “Over a three-year period we went from 3 percent to a third of the U.S. population owning a tablet … We now spend hours and hours a day in the cloud where before, we were on the couch.” The post Waze world: New M2M startups that solve problems in the connected car, from Automatic’s all-in-one digital mechanic, to effortless parking, smartphone integration and driving assistance. Here are the very simple yet positive and powerful thoughts at Telefonica.
[Reproduced from VentureBeat] After Google’s Waze buy, here’s what’s next for connected cars [By Alex Salkever 06.18.13] Intelligent cars are a hot topic in Silicon Valley. Around here, rather than ogle at celebrities, we ogle at Google’s self-driving cars. And it’s not Google. Many car companies, including Toyota, BMW, and Honda, are actually working on self-driving cars, and the future looks to be playing out faster than anyone imagined. Most of the connected-car news over the past couple weeks has focused on Google’s buy-up of social driving app Waze, but here are a few other innovations worth keeping an eye on: Sure, Big Data Is Great. But So Is Intuition. With the growing potential of data and analytics, where is the shifting line between analytics and intuition?
[Reproduced from MIT Sloan management Review] Analytics and Intuition: Finding Equilibrium [By Renee Boucher Ferguson 03.05.13] As the practice of using data analytics to make organizational decisions grows, where is the line between analytics and intuition? Is there a perfect balance between experience versus data, or data versus experience? With the growing potential of data and analytics, how should managers balance analytics and intuition? Just before the New Year, New York Times writer Steve Lohr wrote a blog post, Sure, Big Data Is Great. But So Is Intuition, which addresses a question we here at MIT Sloan Management Reviewhave been researching for the past year: With the growing potential of data and analytics, where is the shifting line between analytics and intuition? In other words, is there a “correct” balance between analytics and intuition in making good business decisions? Lohr bases his post on comments made by a number of speakers who presented at a recent MIT Center for Digital Business conference, Big Data: The Management Revolution, including Claudia Perlich, chief scientist at Media6Degrees and Rachel Schutt, a senior statistician at Google Research. His central premise: Personally, my…concern is that the algorithms that are shaping my digital world are too simple-minded, rather than too smart. It’s encouraging that thoughtful data scientists like Ms. Perlich and Ms. Schutt recognize the limits and shortcomings of the Big Data technology that they are building. Listening to the data is important, they say, but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model? |
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