News & Blogs
The New York Times
September 10, 2012 – Very soon, we will see inside ourselves like never before, with wearable, even internal , sensors that monitor even our most intimate biological processes. It is likely to happen even before we figure out the etiquette and laws around sharing this knowledge. Already products like the Nike+ FuelBand and the Fitbit wireless monitor track our daily activity, taking note of our steps and calories burned. The idea is to help meet an exercise regimen, perhaps lose some weight.
September 10, 2012 – In early January, on the type of sun-splashed day that draws northerners to Florida each winter, some of the nation’s best collegiate soccer players gathered in Fort Lauderdale for a shot at the pros. They ran through a series of scrimmages as part of Major League Soccer’s pre-draft combine, standout players trying to justify their position atop various teams’ boards, and those with something to prove hoping to cash in on a good showing.
September 7, 2012 – “Data is” or “data are”? It’s the type of sticky linguistic thicket that invites vociferous debate. Working with data and writing about that work are both vocations that presumably appeal to the meticulous and, well, the pedantic. (I’ll plead guilty to the latter trait, if not the former.) Tracing the word back to its Latin roots, “data” is the plural of “datum”, which makes it an airtight case for advocates of “data are”. It’s a solid argument, but “correct” grammar changes with common usage, no matter what prescriptivists might prefer.
September 7, 2012 – Several new publications about Big Data in healthcare are showing up with good analysis of this emerging field. The starting point for healthcare organizations is “setting the company’s technology strategy and designing the architecture for internal systems” among other tasks.
September 7, 2012 – Data is having a moment. Analytics are sexier than ever before, and metrics are drive decision-making and thus, boosting revenue. Not surprisingly, there are lots of data tools out there to parse your referral traffic, pageviews, time on page and more. But some people need to know what’s happening now, how they can improve traffic immediately. That’s where real-time analytics comes in, and if you ask CEO Tony Haile, that’s where Chartbeat dominates.
Harvard Business Review
September 6, 2012 – "It's tough to make predictions, especially about the future." So said Yogi Berra, baseball great and amateur philosopher. Sensible (and amusing) as it sounds, his dictum no longer rings true. The Age of Big Data has arrived — and, with it, the ability to predict the future is increasingly a part of a new business reality.
September 5, 2012 – Etsy shared the details of its hardware architecture on Friday, showing the world a whole lot of Supermicro servers running everything from web servers to Hadoop. At this point, software is the name of the game at webscale, so hardware openness is just welcome community service.
The New York Times
September 5, 2012 – WHEN Tim Zagat dines out in New York, many of the restaurants he goes to know that he prefers his soup served in a cup and enjoys iced tea with cranberry juice in a large glass over lots of ice. Jay-Z’s fondness for white Burgundy is also no secret among the city’s headwaiters.
The New York Times
September 4, 2012 – Big Data is in more places than you know, perhaps even your living room. Nest Labs makes a smart thermostat that promotes energy saving by studying its owner’s habits and predicting things about when people are home and what they are likely to do with their home heating and cooling. Using a clever system of awards for the homeowner (green “leaves” for doing the energy-efficient thing), the thermostat is intended to save money through efficiency.
August 31, 2012 – THE brand-new MBA students beginning their programmes this month are by and large aware of the sheer amount of information about them available online. They regularly tweet about their new courses, check into Foursquare from the library and connect with classmates on Facebook and LinkedIn. They, and their schools, are also aware of the potential for using all those little snippets of data to make money. Increasingly cheap computing storage allows for the accumulation of ever more “big data”; the question is how companies will be able to make use of it.