The IT systems of the past 20 years won't be able to handle the emerging Internet of Things, which will call for cloud computing, virtualization, efficient storage and big-data analysis, according to EMC.
As more consumer devices and industrial equipment get connected through the IoT, the flood of data and the opportunities to make things run better will make the familiar client-server systems now in use obsolete, said Paul Maritz, CEO of EMC's Pivotal division.
Maritz and the rest of EMC's top executives used the EMC World conference in Las Vegas this week to sell their vision of a "3rd Platform" of computing driven by mobile devices, big data, public and private clouds and social networking, which they said is replacing a "2nd platform" rooted in client-server technology. The company has combined its core EMC storage business with VMware, RSA Security and the Pivotal division to offer the pieces enterprises need to make the transition.
EMC calls this model a federation and says it lets each division solve separate problems for enterprises or combine efforts with the others. IoT (Internet of Things) makes the best case for bringing all the company's assets to bear, EMC Chairman and CEO Joe Tucci said.
"If I designed something to be perfect for the federation, where everybody contributes, it would be the Internet of Things," Tucci said. IoT calls for enterprises to collect far more data from many more devices and keep it all in EMC storage, such as the Elastic Cloud Storage Appliance the company announced on Monday. Pivotal's big-data platforms can quickly ingest and analyze that data for the enterprise to act on. In the middle of that can be data-center and cloud infrastructure based on VMware's virtual computing and networking technology, Tucci said.
Taylor Rodriguez prepares for a flight. After she plugs in her schedule to the cloud, the rest is automated: Watched over by a “smart” streetlight, she leaves a bag to be picked up outside her door, takes a self-driving car to the airport, strolls through the gate, and sits in the seat designated by the display inside her contact lenses. It’s simple, breezy, and all the while she’s being monitored by the devices around her for signs of disturbances--in her walk, her emotional tenor, her face.
The White House came up with that scene, or rather the President's Council of Advisors on Science and Technology did. Last week, the council released a report analyzing future "big data" scenarios we all may face, alongside a 90-day review of the big data practices led by White House advisor John Podesta.
Health care, crime, smart homes, education, law enforcement, employment--these are all areas in which big data has promised to deliver miracles. But are the tradeoffs of privacy for convenience (like Rodriguez's) something we really want? If they are, how do we make sure that individuals maintain control over how our information is being used?
The researchers, experts, and privacy advocates I spoke to about the White House's efforts to grasp the lightning speed of developments in the field of big data agreed on one thing: The 90-day review does show a laudable, wide-ranging understanding of some of the risks involved, especially when it comes to the way in which big data can discriminate against individuals.
But how the White House will follow up on the initial diagnostic remains unclear. The Podesta report did suggest a handful of recommendations, including juicing up a Consumer Privacy Bill of Rights proposed by the president in 2012 and amending the Electronic Communications Privacy Act, which currently does not protect emails from warrantless law-enforcement snooping. What is clear is that technological advances are outpacing legislative ones, and many experts fear that the keepers and brokers of our data will have the opportunity to take advantage of vulnerable groups long before lawmakers grasp what's happening.
You might not be worried about it, but here are three ways in which big data practices might one day affect you.
Livemint Big Data: affordability factor is the key Livemint Big Data—collecting and analysing vast amounts of data—can help realize that goal, for example, by helping understand disease patterns so that optimal treatment plans can be designed.
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Charles Rein's insight:
Somewhere it has to do with DATA Quality. It all goes back to GIGO no matter how big the data gets.
Gartner predicts cloud computing will become the bulk of new IT spend by 2016. Yet as the transition to the cloud continues, the importance rests not in simply having the technology, but how we use it to our advantage.
Charles Rein's insight:
Follow the CLOUD, and the careers that will spin out of its growth