Showing posts with label data science. Show all posts
Showing posts with label data science. Show all posts

23 May, 2012

Seagate to buy LaCie for $186m as hard drive industry continues shrinking

Seagate to buy LaCie for $186m as hard drive industry continues shrinking
By Nilay Patel on May 23, 2012 10:34 am


The hard drive industry continues to contract: today Seagate announced that it will acquire boutique hard drive vendor LaCie at a total valuation of $186m. Seagate will first purchase 64.5 percent of LaCie's stock from CEO Phillipe Spruch, and then try to buy all the remaining shares over the next few months; if it succeeds in purchasing 95 percent of the company within six months, it'll bump the final price paid to Spruch by 3 percent. Spruch himself will join Seagate as head of consumer products.

The move follows Seagate's $1.4b acquisition of Samsung's traditional hard drive business in December and rival Western Digital's merger with Hitachi in March. While the LaCie buyout is much smaller, it offers Seagate an established consumer brand, a history of innovative design — LaCie has long worked with designer Philippe Starck — and continued vertical integration as more and more storage moves to the cloud. The deal is of course subject to regulatory approval in the US and Europe, but Seagate expects it to close in the third quarter of this year.

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Source: THEverge

07 January, 2012

The hot tech gig of 2022: Data scientist


The hot tech gig of 2022: Data scientist

D.J. Patil: "If you can't measure it, you can't fix it."
By the end of the decade 50 billion devices will be emitting information nonstop. Data scientists will help manage it all.
FORTUNE -- A decade from now the smart techies who decided to become app developers may wish they had taken an applied-mathematics class or two. The coming deluge of data (more on that in a moment) will create demand for a new kind of computer scientist -- a gig that's one part mathematician, one part product-development guru, and one part detective.
D.J. Patil is a pioneer in the field of data science, a new discipline that aims to organize and make sense of all the data generated by machines. It's a challenge that will grow exponentially over the next decade.
Today there are some 400 million devices connected to the Internet, mostly phones and computers. By 2020 some 50 billion devices, from cars to appliances, will be talking to one another. And companies will need teams of data scientists like Patil to sort through everything from internal inventory metrics to customer tweets. The role is so important that Greylock Partners has hired Patil to serve as a "data scientist in residence" to help its portfolio companies mine their data for patterns or stats that will make them more efficient or smarter than their competitors.
Patil understands the business value of data science -- he was LinkedIn's (LNKD) chief scientist for three years -- but he brings a mathematician's logic to the job. His mantra? "If you can't measure it, you can't fix it."

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